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Transport
Proof of Evidence - Appendices
George Lunt
APP/P4.3/TRA
1
2
George Lunt
Proof of Evidence Appendices
Contents Page No.
Appendix 1 Local Model Validation Report 1
Appendix 2 Traffic Forecasting Report 60
Appendix 3 Supplementary Modelling Report 210
Appendix 4 Pipers Row Survey Analysis 225
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4
Appendix 1
Local Model Validation Report
Page 1
5
6
Transportation
July 2013
Wolverhampton City Centre Metro Extension – VISSIM Study
Local Model Validation Report
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AECOM WCCE – VISSIM Study: Local Model Validation Report 2
Checked by: .................................................................................
Daniel Bent
Senior Consultant
Verified by: ........................................................................
Alastair Gibson
Principal Consultant
Approved by: .................................................................................
Megan Charles
Principal Engineer
Rev
No
Comments Checked by Verified by Approved by Date
P01 Draft Final Report issued for review. DB AG MC 5th July 2013
P02 Final Issue. Revised for correction to flare at Bilston Island and to incorporate comments. DB AG RM 1st August 2013
Colmore Plaza, Colmore Circus Queensway, Birmingham, B4 6AT
Telephone: 0121 262 1900 Website: http://www.aecom.com
Job No 60275047 Reference: WCCE-RRP-001 Date Created July 2013
This document has been prepared by AECOM Limited for the sole use of our client (the “Client”) and in accordance with general ly accepted consultancy principles, the budget for fees and the terms of reference agreed between AECOM
Limited and the Client. Any information provided by third parties and referred to herein has not been checked or verified by AECOM Limited, unless otherwise expressly stated in the document. No third party may rely upon this document
without the prior and express written agreement of AECOM Limited.
f:\tp\project\traffic - wolverhampton city centre metro extension\9 - modelling\reports\lmvr\wcce-rrp-001 rev p02.docx
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AECOM WCCE – VISSIM Study: Local Model Validation Report 3
1. Introduction ............................................................................................................................................................................................................................................................................................................................................... 6
2. Observed Conditions ................................................................................................................................................................................................................................................................................................................................ 8
3. Modelling Approach ................................................................................................................................................................................................................................................................................................................................ 16
4. Network Development ............................................................................................................................................................................................................................................................................................................................ 20
5. Matrix Development ................................................................................................................................................................................................................................................................................................................................ 24
6. Model Convergence................................................................................................................................................................................................................................................................................................................................ 29
7. Model Calibration and Validation ............................................................................................................................................................................................................................................................................................................ 31
8. Conclusions ............................................................................................................................................................................................................................................................................................................................................ 39
Appendix A – VISSIM Driving Behaviour Parameters.................................................................................................................................................................................................................................................................................... 42 Appendix B – VISSIM Matrices ...................................................................................................................................................................................................................................................................................................................... 44 Appendix C – Traffic Flow Validation ............................................................................................................................................................................................................................................................................................................. 48
Table of Contents
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AECOM WCCE – VISSIM Study: Local Model Validation Report 4
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AECOM WCCE – VISSIM Study: Local Model Validation Report 5
Introduction
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AECOM WCCE – VISSIM Study: Local Model Validation Report 6
1.1 Overview
This Local Model Validation Report (LMVR) outlines the methodology adopted to create a base VISSIM micro-
simulation model of Wolverhampton City Centre and the Ring Road.
Centro have commissioned AECOM to create this VISSIM model to test their aspirations to extend the current
Metro line from St. Georges Stop to the Rail Station. This model covers the area between Market Street to the
west, Bilston Island Roundabout to the south, Horseley Fields to the east and Railway Drive to the north. The
exact extents are shown in Figure 1.1.
A comparison between the modelled and observed data has been completed in order to provide evidence that the
model realistically replicates on site traffic behaviour and can be adapted to test the proposed Metro routing in
future models.
1.2 Study Objectives
The objectives of the study were to prepare a base VISSIM model structure, create 2012 peak hour traffic matrices
and produce a micro-simulation model which is calibrated and validated against observed site data to DMRB
standards. The corridor to be modelled is illustrated in Figure 1.1 and covers the following key junctions and areas
of interest:
J1. Horseley Fields / Corn Hill Signalised Junction
J2. Horseley Fields / Middle Cross Signalised Junction
J3. Bilston Island Signalised Roundabout
J4. Bilston Street / Pipers Row Signalised Junction
J5. Pipers Row / Tower Street / Bus Station / Castle Street
J6. Pipers Row / Queen Street / Berry Street Priority Controlled Junction
J7. Pipers Row / Lichfield Street / Fryer Street / Railway Drive Signalised Junction
J8. Railway Drive at Wolverhampton Rail Station
Figure 1.1: Study Area
1. Introduction
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Observed Conditions
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2.1 Observed Data
Observed data was obtained through a number of sources, including traffic surveys, previous survey data, site
observations and Traffic Master Data.
Traffic Surveys Traffic Survey Partners (TSP) were commissioned to undertake the surveys in October 2012, collecting the
following information:
Fully Classified Turning Counts (using Video Surveys) – undertaken on Tuesday 9th October 2012 and 21
st
November 2012 for the following junctions:
o Bilston Street / Piper’s Row;
o Piper’s Row / Tower Street;
o Piper’s Row / Bus Station Exit;
o Piper’s Row / Castle Street Car Park
o Piper’s Row / Castle Street
o Piper’s Row / Queen Street / Berry Street;
o Piper’s Row / Fryer Street;
o Railway Drive / Rail Station Car Park.
Automatic Traffic Counts (ATCs) – recorded over a 13 day period between Saturday 6th October and
Thursday 18th October 2012 inclusive, for the following locations:
o ATC 1: Pipers Row (North of Bilston Street / Pipers Row Junction, 40m north of Pipers Row
stopline) – northbound and southbound
o ATC 2: Pipers Row (10m south of Pipers Row / Queen Street Junction) – northbound and
southbound
o ATC 3: Railway Drive (20m west of bridge)– eastbound and westbound
Due to an error by the sub-consultant, the fully classified turning counts for Junction 8, “Railway Drive / Rail Station
Car Park” were collected on 21st November 2012.
It should also be noted that two of the ATC tubes were vandalised or damaged during the collection period. For this
reason, the length of each of the surveys is as follows:
ATC 1: Pipers Row data collected from 6th October 2012 to 19
th October 2012
ATC 2: Pipers Row data collected from 6th October 2012 to 17
th October 2012
Previous Survey Data
As well as 2012 counts, 2009 traffic counts were also utilised to create the Origin-Destination (O-D) matrices within
the VISSIM model. The 2009 counts utilised included:
Bilston Street Island (1st April 2009);
Corn Hill / Horseley Fields (exact date unknown).
In order to ensure that the 2009 counts were suitable for use, TEMPRO was manipulated to determine the growth
within Wolverhampton for the period 2009 to 2012. It was found that traffic volumes had fallen 1% between the two
years, meaning that the 2009 flows were suitable for use without any significant adjustments.
Site Observations
AECOM undertook site visits on Tuesday 13th November 2012 (for the PM peak observations), Wednesday 14th
November 2012 (for the AM peak observations) and Wednesday 15th January 2013 (for journey times for both
peaks).
During the site visits, the following data were collected:
Observations and notes of driver behaviour, lane usage and queues at the junctions;
Determination of speed limits;
Pedestrian use of controlled facilities;
Signal timings and staging sequences;
Saturation flows;
Peak period journey time measurements (Wednesday 15th January 2013)
Checking of public transport routes and stops.
Traffic Master Data Traffic Master journey time data was obtained for a 12 month period, for neutral days only (Tuesday, Wednesday,
Thursday) for links around Wolverhampton City Centre. A years’ worth of data has been used to ensure a sufficient
sample size, as data became more limited as the timescales were reduced.
In order to obtain journey times for the VISSIM model, the Traffic Master links were added together to create
longer journeys across the model.
2.2 Analysis of Observed Data
To verify the suitability of the observed data, a series of checks were made to identify any potential issues which
may have led to problems calibrating and validating the VISSIM models. Details of the data analysis undertaken
are summarised in the following sections.
Traffic Count Data In order to calibrate and validate the VISSIM model, traffic count information was collected at eight key
junctions/areas in Wolverhampton as detailed below in Table 2.1. The data included fully classified turning counts
collected on Tuesday 9th October 2012 and Automatic Traffic Counts (ATCs) recorded over a 13 day period
commencing on Saturday 6th October 2012.
Fully Classified Turning Counts
The fully classified turning counts were collected on the following approaches to each junction between 07:00 and 19:00. The analysis period covered the peak periods of 07:00 to 10:00 and 16:00 to 19:00. Using this information, the peak periods of network operation were identified as being 07:30 to 09:30 for the AM peak and 16:30 to 18:30 for the PM peak.
2. Observed Conditions
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AECOM WCCE – VISSIM Study: Local Model Validation Report 9
A. Bilston Street / Pipers Row Junction
Pipers Row
Bilston Street East
Bilston Street West
B. Pipers Row / Tower Street Junction
Pipers Row North
Pipers Row South
Tower Street
C. Pipers Row / Bus Station Exit Junction
Pipers Row North
Bus Station Exit
Pipers Row South
D. Pipers Row / Castle Street Car Park Junction
Pipers Row North
Pipers Row South
Castle Street Car Park
E. Pipers Row / Castle Street Junction
Pipers Row North
Pipers Row South
Castle Street
F. Pipers Row / Queen Street / Berry Street Junction
Pipers Row North
Pipers Row South
Queen Street
Berry Street
G. Pipers Row/ Fryer Street Junction
Fryer Street
Railway Drive
Pipers Row
Lichfield Street
H. Railway Drive / Rail Station Car Park Junction
Railway Drive East
Rail Station Car Park
Railway Drive West
Table 2.1: Locations of Fully Classified Turning Counts
Survey flow data was checked against each other to ensure adjacent junction entry and exit flows were comparable
and to highlight any flow discrepancies in the network on the day of the surveys. All entry and exit flows were found
to be within 5% of each other, with the exception of the Piper’s Row link between the Bus Station and Tower Street.
Further investigation into this found that traffic was being added to the network as a result of the Crown and County
Court Car Park. This discrepancy was accounted for in the matrix development, see Section 5.3.
When considering Taxi movements, it was found that on the Railway Drive link there were differences of over 10%
between the junctions with Piper’s Row and the Rail Station. As the Junction 8 (Railway Drive / Rail Station Car
Park) turning count surveys were conducted on a different day (21st November 2012) to the other junction turning
count surveys (9th October 2012), it may be that adverse weather conditions on 21
st November 2012 increased the
number of taxi movements to the station. This discrepancy was accounted for in the matrix development, see
Section 5.3.
Automatic Traffic Counts (ATCs)
The ATCs were collected at three locations for both directions of travel, with AM and PM peak time data analysed
for the study.
It was found that ATC flows on the survey day (9th October) were comparable (within 10%) to the Turning Count
flows collected on the same day. This is within the expected variation between manual and automatic counts.
2.3 Signal Data
Signal data was obtained from Wolverhampton City Council for all signal controlled junctions in the model. Data
included signal specifications, UTC plans and UTC timetables.
2.4 Data Issues and Implications on Modelling
No issues were noted with the turning counts.
2.5 Analysis of Existing Junctions
The following pages detail the characteristics of the associated junctions, based on site visit observations.
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AECOM WCCE – VISSIM Study: Local Model Validation Report 10
Junction 1: Horseley Fields / Corn Hill
Horseley Fields / Corn Hill Existing Junction Layout
Existing Layout The Horseley Fields / Corn Hill junction is a four arm signal controlled junction. The junction comprises the following arms:
1) The Horseley Fields west approach is two lane one way access from Ring Road Saint David’s. This flares to three lanes at the
stop line to allow access to Corn Hill.
2) Corn Hill is a single lane signalised approach with left turn only. Corn Hill has been stopped up as a viable through route to traffic
since 2008 and subsequently the arm at present is a no through route, thus providing access to the Gallan surface level car park
and residential developments only.
3) The Horseley Fields east approach is a single lane approach which allows a right turn to Corn Hill.
4) Union Street is a one way approach allowing a right turn onto Horseley Fields. It is also connected to the Horseley Fields / Middle
Cross junction through Little Park Street and Gough Street and allows access to cars parks for the Novotel Hotel and Probation
Services building.
Additional Info
- The speed limit at this junction is 30
mph
- Site observations showed this junction
to be quiet, with little queuing and no
pedestrian usage
Junction 2: Horseley Fields / Middle Cross
Horseley Fields / Middle Cross Existing Junction Layout
Existing Layout The Horseley Fields / Middle Cross junction is a three arm signal controlled junction. The junction comprises the following arms:
1) Horseley Fields (West) is a two lane approach which flares to three lanes. During site visits, there was a queue in the nearside
lane of a maximum of 10 vehicles. The right turn lane had a maximum queue of six vehicles.
2) Horseley Fields (East) flares to a three lane approach of which the nearside lane is a bus lane. The offside lane is a 4 vehicles’
length flare for the straight ahead movement. During site visits, queues of greater than 250m were observed in both peaks, with
these more sustained in the PM peak.
3) Middle Cross is a two lane approach with a flare for left turning vehicles. This approach was observed to be the quietest approach
of the junction.
Additional Info
- The speed limit at this junction is 30
mph
- This junction operates on fixed time.
- Site observations showed less than five
pedestrians at this junction in both
peak periods.
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Junction 3: Bilston Island Roundabout
Bilston Island Roundabout Existing Junction Layout
Existing Layout Bilston Island Roundabout is a five arm signalised roundabout with a three lane circulatory. The Metro runs through the centre of the
roundabout from the A41 Bilston Road to Bilston Street. The junction comprises the following arms:
1) Ring Road St David’s is a two lane approach which flares to 3 lanes at the junction. The approach speed limit is 40mph, which
drops to 30mph at the junction.
2) Middle Cross is a two lane approach which flares to 3 lanes at the junction. The nearside lane is a bus lane with bus priority
signals set back 80m from the junction. The approach speed limit is 30mph. This approach was observed as having the longest
queues when compared to the other four arms.
3) The A41 Bilston Road is a two lane arm which flares to three lanes. The Metro runs parallel with this approach. The approach
speed limit is 30mph.
4) Ring Road St George’s is a two lane approach which flares to 4 lanes 20m before the stop-line. The approach speed limit is
40mph, which drops to 30mph at the junction.
5) Bilston Street is a two lane approach which flares to three lanes. The Metro runs parallel with this approach. The approach speed
limit is 20mph, which increases to 30mph at the junction.
Additional Info
- The junction currently operates on fixed time signal plans.
- The circulatory has a 30mph speed limit and comprises of three lanes throughout the junction.
- Spiral markings were present, with destination names and arrows clearly visible.
- Observations showed the junction becoming very congested, with amber light running observed.
- The junction appears to operating at capacity.
- Pedestrian routes are present away from the main carriageway and route below the main island.
Junction 4: Bilston Street / Pipers Row
Bilston Street / Pipers Row Existing Junction Layout
Existing Layout The Bilston Street / Pipers Row junction is a three arm signalised junction. The junction comprises the following arms:
1) Pipers Row which flares from one lane to two lanes on approach. This approach is left turn only.
2) Bilston Street (east) is a two lane approach which flares to three lanes. The middle and nearside lanes are for left turns and is
operated on a separate signal stream to the other approaches at this junction. The offside lane is for right turning vehicles.
During the AM peak, queues on this lane were observed to reach back to Bilston Street Island.
3) Bilston Street (west) is a two lane approach and prior to the junction, has three bus stops in lay-bys.
Additional Info
- The speed limit at this junction is 20
mph.
- This junction currently operates using
Vehicle Actuated (VA) signals.
- A high pedestrian demand was
observed on the west side of this
junction.
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Junction 5: Pipers Row/Court Car Park/Tower Street/Bus Station/Castle Street
Pipers Row / Court Car Park / Tower Street / Bus Station / Castle Street Existing Junction
Layouts
Existing Layout These are five minor junctions, all of which are priority controlled. These junctions comprise the following:
1) Pipers Row / Tower Street – this is a T-junction with all approaches being single lane. There is on-street parking on Tower Street.
2) Court Car Par – this is gated access off Piper’s Row. Low traffic flows were observed from this access.
3) Bus Station – this is a bus only access from the Bus Station to Piper’s Row. There are coach stops located on Pipers Row to the
north to this junction in the southbound direction.
4) Pipers Row / Car Park – this is a public use car park off Piper’s Row, which is gated. To the north of the car park exit, there is a
alighting only bus stop on Piper’s Row
5) Pipers Row / Castle Street – this is a T-junction with all approaches being single lane. There is on-street parking on Castle Street.
Additional Info - The speed limit through this area is 20mph.
Junction 6: Pipers Row / Queen Street / Berry Street
Pipers Row / Queen Street / Berry Street Existing Junction Layout
Existing Layout The Pipers Row / Queen Street / Berry Street junction is a three arm priority controlled junction. The junction comprises the following
arms:
1) Pipers Row is single lane and has speed humps upon entry and exit from the ‘pedestrianised’ area.
2) Queen Street is a single lane one way exit from the junction with some on street parking.
3) Berry Street is a dual lane one way exit from the junction with some on street parking.
Additional Info - This section of Piper’s Row is a
‘pedestrianised’ area with access
only allowed for buses and taxis
- The speed limit through this area is
20mph.
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Junction 7: Piper’s Row / Lichfield Street / Fryer Street / Railway Drive
Pipers Row / Lichfield Street / Fryer Street / Railway Drive Existing Junction Layout
Existing Layout The Pipers Row / Lichfield Street / Fryers Street / Railway Drive junction is a four arm signal controlled junction. The junction comprises
the following arms:
1) Fryer Street is a single lane approach and provides access to two public car parks.
2) Railway Drive is a single lane approach with an Advanced Cycle Stop Line (ACSL). This approach provides access to
Wolverhampton Rail Station and a multi-storey car park. This approach has a bridge over Ring Road St. David’s.
3) Pipers Row is a single lane approach which is a pedestrian zone on approach to this junction.
4) Lichfield Street is a single lane approach with an ACSL. There is an on street bus stop in both directions and this approach is part
of the route for many bus services exciting from Wolverhampton Bus Station.
Additional Info - The speed limit through this junction is
20mph.
- The signals currently operate on fixed
time plans. - Towards the end of the PM peak,
queues were observed on the Railway
Drive approach.
- A high pedestrian demand was
observed at this junction.
Junction 8: Railway Drive at Wolverhampton Rail Station
Railway Drive at Wolverhampton Rail Station Existing Layout
Existing Layout Railway Drive at Wolverhampton Rail Station provides access to the Drop and Go section, the taxi rank and multi-storey car park. There
is a high turnover of vehicles at this junction. The key points of interest in this area are:
1) Drop and Go area – this has a high turnover of vehicles and also contains 3 disabled parking bays.
2) Taxi rank – this was observed to be full in both peaks. Approximately seven taxis can be stored in the rank without impeding
traffic for the multi-storey car park.
3) Multi-storey car park – this has two entrances and one exit, all of which are barrier-controlled.
Additional Info - Pedestrians can access the station by crossing from the Railway Drive bridge after which pedestrians must cross two roads which are
vehicle exit / entry points.
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Modelling Approach
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3.1 Approach Overview
The junctions under consideration are located in Wolverhampton and within the vicinity of the Metro route. A micro-
simulation model has been prepared to reflect existing conditions at Bilston Island, the Ring Road, Horseley Fields /
Middle Cross, Horseley Fields / Corn Hill, Bilston Street / Pipers Row / Pipers Row / Fryer Street and Railway
Drive. This is to provide a controlled base model to allow future testing of the area to be undertaken.
VISSIM is a microscopic, behaviour-based multi-purpose traffic simulation program developed by PTV. The model
uses the psycho-physical car-following model developed by Wiedemann and a related lane-changing model
originally designed by Sparmann.
VISSIM has been used to model Wolverhampton as the program can analyse various typical traffic operations
including scenarios of merging / diverging traffic under congested and free flow conditions, with constraints such as
lane configuration, traffic composition and priority control. Complex signalised junctions can also be modelled in
VISSIM with a reasonable degree of accuracy when combined with external software such as VAP (vehicle
actuated program) and more recently PC MOVA.
The wide range of tools combined with the ability to assess interaction between consecutive junctions makes
VISSIM an extremely useful tool for the evaluation of the base year performance and any future testing.
Another benefit of VISSIM is its graphical interface that allows the user to add traffic and signal data to existing
base maps or aerial photographs of intersections and road layouts. The capability dramatically improves the quality
of animation of traffic operations providing an important graphical interface to aid in presentation of the outcomes.
The simulation can be calibrated and validated using local traffic counts, queue lengths and journey time
information. This allows the production of a site-specific base model that can be more accurately reflect the
behaviour of traffic in the study area.
3.2 Model Coverage
The model covers the area between Market Street to the west, the Bilston Island Roundabout to the south,
Horseley Fields to the east and Railway Drive to the north of Wolverhampton. The extents of the VISSIM model
are highlighted in Figure 3.1 while Figures 3.2 to 3.5 inclusive show the modelled approaches to each junction.
Horseley Fields / Corn Hill Signalised Junction
Horseley Fields / Middle Cross Signalised Junction and the A454
Bilston Island Signalised Roundabout and the A41, St David’s Ring Road and St Georges Ring Road
Bilston Street / Pipers Row Signalised Junction
Pipers Row / Tower Street / Bus Station / Castle Street
Pipers Row / Queen Street / Berry Street Priority Controlled Junction
Pipers Row / Lichfield Street / Fryer Street / Railway Drive Signalised Junction
Railway Drive at Wolverhampton Rail Station
Figure 3.1: Extent of the VISSIM Network
3. Modelling Approach
Bilston Street Island
Railway Drive at Wolverhampton
Rail Station Street Pipers Row /
Lichfield Street / Fryer
Street / Railway Drive
Pipers Row / Queen
Street / Berry Street
Pipers Row / Tower Street /
Bus Station / Castle Street
Bilston Street /
Pipers Row
Horseley Fields /
Corn Hill
Horseley Fields /
Middle Cross
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3.3 Model Specification
The traffic model has been developed using the following specifications:
Base Year: 2012
Time Periods: - AM peak period between 07:00 and 09:30 (including a 30 minute build up period);
- PM peak period between 16:00 and 18:30 (including a 30 minute build up period).
Evaluation Periods: - AM peak period between 07:30 and 09:30;
- PM peak period between 16:30 and 18:30.
Vehicle Types: - Light Vehicles (comprising cars and light goods vehicles);
- Taxis (comprising of taxis only);
- Heavy Vehicles (comprising OGV1, OGV2 and Buses*);
- Buses (comprising of buses only with specified routing, timetables and bus stops for
each bus service number);
- Metro (comprising of trams only and specified routing on separate tram links,
timetables and St Georges Metro stops)
*Note: Only buses without specified routing and timetables are included in the heavy
vehicles category. This might include private hire buses, out of service buses or
other private vehicles with over 9 seats. All timetables buses are included in the
Busses category.
VISSIM Version: 5-40.06
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Network Development
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4.1 Introduction
This section describes how the model network has been developed and provides a brief overview of the data
used. It then describes the checks undertaken to show its validity. Model development has been undertaken in
accordance with both DMRB Volume 12a and Interim Advice Note 36-01 ‘The use and application of micro-
simulation models’.
4.2 Network Development
The network was created using OS mapping which was scaled to the necessary level. The OS acted as base
mapping, which allowed junction geometry to be checked to ensure that the network incorporated in the model
was representative. The lane widths and flare lengths have been checked using the base mapping, together with
site visit photos and Google Streetview.
The network is made up of a series of links joined together by connectors. A link is a unidirectional representation
of a section of highway. A connector is a unidirectional section of highway that joins two links. The information
required for each link is:
Lane width;
Link length;
Link speed;
Number of lanes.
Traffic enters and leaves the network via external points known as parking lots in VISSIM; a practice referred to as
zone/ zone loading in more traditional traffic modelling.
A collection of links and connectors that form a significant traffic route decision is referred to as a node. This
represents a junction.
A summary of the modelled network is given as follows.
The model network contains:
23 Model Zones
68 Nodes (significant areas of route decision – junctions)
250 Links and Connectors
20 Signal Controllers
4.3 Vehicular Parameters
After checking the physical characteristics of the network, vehicular parameters were checked in order to make the
model reflect as accurately as possible existing site conditions.
VISSIM has a set of default settings for various vehicle characteristics such as, range of vehicular lengths,
standard weight and power distributions, maximum/ minimum acceleration values. As changes in gradient have
not been used within the model, these default settings were deemed appropriate and have been applied.
The speed distributions have been amended in accordance with the DfT Speed Distributions 2011. The
distributions are broken down by vehicle and carriageway type. The distributions used are broken down by
carriageway type, speed limit (speed range in mph located in brackets) and vehicle type as follows:
Dual Carriageway (built up roads) – Speed Limit = 40mph – Ring Road St. David’s, Ring Road St.
Georges’s
o Cars / LGVs / Taxis (19.9, 59.9)
o HGVs + Buses (19.9, 59.9)
Dual / Single Carriageway – Speed Limit = 30mph – A41, Middle Cross, Horseley Fields, Corn Hill
o Cars / LGVs / Taxis (20.0, 50.0)
o HGVs + Buses (20.0, 50.0)
Single Carriageway – Speed Limit = 20mph – Pipers Row, Bilston Street, Tower Street, Castle Street,
Berry Street, Queen Street, Lichfield Street, Fryer Street, Railway Drive
o Cars / LGVs / Taxis (10.0, 40.0)
o HGVs + Buses (10.0, 40.0)
NOTE: The 20mph speed distribution has the same profile as the 30mph speed limit with a lower speed range.
Desired speed distributions have also been applied to each circulatory based on the junction size and approach
road speeds. This was done to provide more representative speeds of vehicles as they travel around the
circulatory sections.
The circulatory of the Bilston Island Roundabout has desired speed distributions of 30 mph (25.0, 50.0) for Cars
and 30mph (20.0, 50.0) mph for HGVs.
Reduced speed areas were also positioned on approaches to junctions and on turning movements to better
replicate the slowing down of vehicles as they approach and pass through the various junctions within the network.
A total of 80 reduced speed areas have been used throughout the network. Three additional desired speed
decisions were developed to be used solely for the reduced speed areas:
18 mph – 27 mph distribution was used in reduced speed areas to better the control roundabout entry and
exit speed
15 mph – 20 mph distribution was used in reduced speed areas to replicate standard turning movements
10 mph – 15 mph distribution was used in reduced speed areas to replicate turning movements with a
tight radii and poor visibility.
o Cars / LGVs / Taxis (10.0, 40.0)
o HGVs + Buses (10.0, 40.0)
4. Network Development
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4.4 Priority Markers
Priority rules have been added to the model in the vicinity of all junctions in the model. The gap times have been
based on theoretical default values of 3.0 seconds for Cars / LGVs and 3.5 seconds for HGVs and Buses. These
priority rules have then been adjusted as part of the calibration and validation process and in some locations, such
as Bilston Street Island Roundabout, the gap times vary from those stated above.
4.5 Conflict Areas
A very small number of conflict areas were used on the circulatory sections of Bilston Street Island roundabout to
ensure that modelled vehicles did not override one another during congested conditions, which if allowed to occur
would result in unrealistic model performance and an overestimation of saturation flow at the affected stop lines.
4.6 Traffic Signals
As outlined in Section 4.2, a total of 20 signal controllers have been included within the model in order to replicate
the existing signalised junctions within the modelled study area. A total of 101 signal heads have been also been
used within the model across all 20 signal controllers.
In order to model the operation of the signals, the following signal specifications have been obtained from
Wolverhampton City Council (WCC):
Bilston Street Island roundabout;
Bilston Street / Piper’s Row;
Horseley Fields / Corn Hill;
Horseley Fields / Middle Cross;
Piper’s Row / Railway Drive;
Ring Road St David’s / Broad Street / Wednesfield Road / Ring Road St Patrick’s;
Queen Street / Market Street;
Lichfield Street / Princess Street.
The signal controllers within the model have been coded as either fixed time or vehicle activated (VA) using
VISVAP in order to best replicate the signal specification received for each junction, from the network control team
at WCC.
The following signalised junctions have been modelled fully as fixed time controllers.
Bilston Street Island Roundabout – five arm signalised roundabout, operating as five separate signal
controllers to replicate the five existing stage streams
The following junctions have been modelled using VAP:
Bilston Street / Pipers Row (including tram phasing and staging for the existing St Georges stop)
Horseley Fields / Corn Hill / Union Street
Horseley Fields / Middle Cross
Railway Drive / Pipers Row / Lichfield Street / Fryer Street
Middle Cross Southbound Bus Gate
The following junctions have been partially modelled as fixed time controllers. These partially modelled junctions
were designed to replicate the arrival and departure flow of traffic into the and out of the network; given that the
extents of the study area meant that the modelling of the full signal junction was not required.
Ring Road St Georges / Dudley Road / Ring Road St Johns / Snow Hill - northbound
Ring Road St Georges / Dudley Road / Ring Road St Johns / Snow Hill – southbound
Ring Road St David’s / Broad Street / Wednesfield Road / Ring Road St Patricks – northbound
Ring Road St David’s / Broad Street / Wednesfield Road / Ring Road St Patricks – southbound
Queen Street / Market Street
Lichfield Street / Princess Street
These partially modelled signal controllers used the existing signal specification sheets to calculate the
subsequent cycle time and green time allocated to individual phases, allowing an accurate representation of the
on-site signal operation to be assessed without the need to model the full extents of the junction. The above six
partially modelled signal controllers are all located at the edge of the VISSIM network.
4.7 Driving Behaviour Parameters
VISSIM has a default set of driving behaviours contained in a detailed array of parameters which can be edited to
more accurately reflect site specific conditions. These parameters affect the car following and lane change models
of vehicles, lateral behaviour and vehicular reaction to traffic signals. These sets of parameters are associated
with link types so that all vehicles travelling along a specific link display the same driving behaviour properties
specified.
A total of three driving behaviour parameters have been used within the extents of the model. The default “Urban
(motorised)” behaviour has been used for the majority of the highway links within the network, with exception to
the locations identified below.
A “Merge” driver behaviour type was created which allowed more co-operative driver behaviour and more efficient
lane changing behaviour under congested conditions. The “Merge” parameter was used on the:
Circulatory sections of Bilston Street lsland roundabout;
The Ring Road St David’s approach to Bilston Street Island roundabout;
The merge taper into one lane on Horseley Fields eastbound.
Finally, the default “Footpath” driving behaviour parameter was used to model the pedestrian crossing facilities
within the model.
The two different driving behaviour types used for vehicles within the models are summarised in full within
Appendix A.
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4.8 Network Checks
A series of checks were made to ensure that the base models correlated with the physical characteristics
observed on site. These checks are described under the following bullet points:
Range Checks – the characteristics of all links were checked to ensure that they were appropriate for that
class of link. Characteristics include driver behaviour, speed and number of entry lanes;
Link Lengths – the lengths of all links in the network were checked against total distance measured from
the OS mapping and site observations;
Route Checking – the origins to destination routes for each vehicle type were checked for illogical routing
through the network. Any anomalies were closed by the Network edge function or route closures.
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Matrix Development
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5.1 Introduction
This section describes the development of the demand matrices used in the dynamic assignment of vehicles in the
VISSIM micro-simulation model.
5.2 Traffic Model Zoning System
The VISSIM model was built using a dynamic (matrix based) demand assignment in which vehicles choose their
route through the network based on calculated ‘cost paths’. A dynamic assignment was chosen because of data
availability and the ease of amending a dynamic model. The nature of the network is also best replicated by a
dynamic assignment due to the lane changing characteristics, which are best replicated by ‘forward’ thinking route
choice rather than a static set of paths.
The zoning system, with which dynamic assignments are based, provides a series of vehicular entry / exit points
on the network. The inter-zonal movements, which are generated by the assignment process, provide a
representation of the vehicle paths and driver behaviour between the origins and destinations in the model
network.
The zoning system for the VISSIM model is shown in Figure 5.1 with the traffic entry and exit points. The traffic
entry and exit points for the traffic model are as follows:
Zone 1: A41 (Bilston Road)
Zone 2: Ring Road St George’s
Zone 3: St Georges Parade
Zone 4: Bilston Street entry
Zone 5: Tower Street
Zone 6: Court Car Park
Zone 7: Bus Station exit
Zone 8: Bus Station exit
Zone 9: Piper’s Row Car Park
Zone 10: Castle Street
Zone 11: Queen Street
Zone 12: Berry Street
Zone 13: Lichfield Street
Zone 14: Fryer Street
Zone 15: Ring Road St David’s
Zone 16: Rail Station Drop and Go
Zone 17: Rail Station Multi-storey Car Park
Zone 18: Sun Street
Zone 19: Corn Hill Car Park
Zone 20: Union Mill Street
Zone 21: A454 (Horseley Fields)
Zone 22: Union Street
Zone 23: Rail Station Taxi Rank
Figure 5.1: VISSIM Network showing Entry / Exit Zone Numbers
5. Matrix Development
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5.3 Matrix Development
The matrices used in the model have been derived through the collection, analysis and subsequent assembly of
classified count data recorded at junctions in Wolverhampton.
Section 2 details the traffic surveys undertaken by Traffic Survey Partners (TSP) on Tuesday 9th October 2012 and
21st November 2012 (for the Railway Drive Junction) which collected fully classified turning counts and ATCs.
Discrepancies were noted along Railway Drive, in terms of taxi numbers, and on the Piper’s Row link between the
Bus Station and Tower Street junctions, in terms of total traffic flow.
Adverse weather conditions on 21st November 2012 may have been a contributory factor to the difference in taxi
numbers. To counter this, the level of taxis at the Rail Station have been adjusted to match the October 2012
turning counts flows for consistency in traffic flows.
The difference in flows on the Piper’s Row link between the Bus Station and Tower Street junction may have been
a result of traffic entering and exiting the Court Car Park. This has been included in the matrix calculations, by
assuming the difference in flows between the two junctions are entering and/or exiting the Court Car Park.
Chapter 2 also detailed previous 2009 counts that would be utilised to create the Origin-Destination (O-D)
matrices. These were for Bilston Street Island Roundabout and Horseley Fields / Corn Hill junction. These were
checked against TEMPRO to determine their suitability and this indicated that traffic levels decreased from 2009 to
2012 by 1%. As a result, a reduction factor of 1% has been applied to the 2009 counts.
Any gaps in the traffic flow data were filled in using site observations made by AECOM staff. This particularly
related to the Horseley Fields / Middle Cross junction.
Matrix Construction Methodology
The matrix construction was undertaken using the following steps:
1. Identification of traffic counts
2009 and 2012 traffic counts have been identified – see Chapter 2.
2. TEMPRO adjustment of ‘old’ counts
The 2009 counts were factored down by 1% based on the growth factors derived from TEMPRO.
3. Calculate Initial Matrices
The AM and PM matrices have been calculated by considering each O-D route in turn and multiplying together the
associated turning percentage at each junction until the destination was reached.
The sum of the entry flows (from the turning counts) for each VISSIM entry zone were then apportioned by these
turning percentages to derive O-D matrices for use in the model. This Furness method (Matrix Estimation) allowed
any unknown movements to be accounted for (this particularly concerned the Middle Cross / Horseley Fields
junction).
4. Check Initial Matrices and Correct
Having determined the initial matrices, the car and HGV numbers were checked using the turning and link counts.
This was done particularly to ensure that the 2009 Bilston Street Island roundabout count and the adjacent 2012
counts tied in. Adjustments between cars and HGVs were made as necessary so that the levels of cars and HGVs
were consistent.
Adjustments were also made at Piper’s Row / Railway Drive to ensure that the taxi numbers entering and leaving
the Rail Station were consistent between adjacent counts.
5. Recalculation of Matrices and Final Check
Having made the adjustments, a Furness method (Matrix Estimation) was applied again to any unknown
movements to produce final matrices. These were checked against ATC data to ensure consistency.
Having produced the final matrices, the model was run using one Random Seed (42) to compare the VISSIM
calibration results against the turning counts which were used as a basis for the O-D matrices.
The associated demand matrices for the AM and PM peak periods can be found in Appendix B.
5.4 Public Transport
Up to date public transport timetables for Wolverhampton were obtained in order to inform the bus and tram
routings and frequencies within the modelled study area. Coach timetables were also obtained as part of this
exercise. Bus mapping and on-site observations were also used to inform the development of the public transport
within the model.
The bus, tram and coach demands within the 2012 base models have been modelled independently within
VISSIM using public transport lines.
A summary of the public transport modelled within the 2012 base model is as follows:
Midland Metro line 1 – including the St Georges Tram stop
Wolverhampton Bus station has been modelled using two spurs to represent the various access and
egress arrangements
A total of 12 stand alone bus stops have been included within the model (shown below in figure 5.2)
A comprehensive network of bus routings have been modelled using timetabled information.
Figure 5.2 below provides a location of the public transport stops that have been used within the base model. For reference, the naming convention of these stops is in line with the referencing from the Wolverhampton City Centre bus map.
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Figure 5.2 – Base Model Public Transport Stops
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Convergence
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6.1 Introduction
As the VISSIM model has been run using the Dynamic Assignment module, in which a series of iterated
simulations are used to determine the route of a vehicle through the network based on a total travel cost; then
there is a need to assess the convergence of the model. This is to establish a point where the travel times and
volumes do not change significantly from one iteration to the next, enabling the model to be deemed stable and
results to be analysed in confidence.
VISSIM offers an automated test for convergence in which a pre-determined set of convergence conditions are
assessed at the end of each evaluation interval. The three tests that can be selected refer to the Travel Time on
Paths, Travel Time on Edges and Volume on Edges which are all set to 15 by default.
The Design Manual for Roads and Bridges (DMRB) outlines the importance of convergence within traffic
modelling, in that – ‘the importance of achieving convergence is related to the need to provide stable, consistent
and robust model results’ (para 4.4.24).
DMRB chapter 4 provides a series of convergence criteria that should be used to assess the convergence and
stability of traffic models and although the guidance is designed primarily for strategic models, some of the criteria
can be used to assess the convergence of micro-simulation models.
The following convergence criteria can be assessed within the context of VISSIM:
- The percentage of links with a flow change (P) of less than 5% should be greater than 90% for four
consecutive iterations,
- The percentage change in user costs or time spent within the network (V) of less than 1% for four
consecutive iterations.
6.2 Convergence Validation
The AM and PM models were initially run for a single simulation using random seed 42 to establish the initial costs
and paths within the network. Using the node evaluation window, the paths through the network were reviewed
and any paths that were deemed incorrect or unfeasible were closed.
A batch run of each model was then undertaken, using random seed 42 and running the model for 10 simulations
using this same random seed in order to assess the convergence of the model. For each of the 10 simulation
runs, a cost file, Network Performance Evaluation (NPE) and Convergence evaluation file (CVA) were output.
Due to the limited route choice available in the VISSIM model, convergence was achieved quickly.
The CVA file has been used to examine the percentage change in flow on edges (P statistic) for the peak hour for
each model run, whilst the NPE file has been used to assess the total travel time spent within the network (V
statistic).
An assessment of the convergence validation for the AM and PM peak batch run is provided below in Tables 6.1.1
and 6.1.2.
AM
Convergence
Run (Random
Seed 42)
Run 1 Run 2 Run 3 Run 4 Run 5 Run 6 Run 7 Run 8 Run 9 Run 10
% Edges with
flow change
below 5 vehicles
100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
Total Travel
Time 583.5 583.5 583.5 583.5 583.5 583.5 583.5 583.5 583.5 583.5
% Change in
Travel Time - 0% 0% 0% 0% 0% 0% 0% 0% 0%
Table 6.1.1 – AM Peak (08:00 – 09:00) – Convergence Validation
AM
Convergence
Run (Random
Seed 42)
Run 1 Run 2 Run 3 Run 4 Run 5 Run 6 Run 7 Run 8 Run 9 Run 10
% Edges with
flow change
below 5 vehicles
100% 100% 100% 100% 100% 100% 100% 100% 100% 100%
Total Travel
Time 636.3 636.3 636.3 636.3 636.3 636.3 636.3 636.3 636.3 636.3
% Change in
Travel Time - 0% 0% 0% 0% 0% 0% 0% 0% 0%
Table 6.1.2 – PM Peak (17:00 – 18:00) – Convergence Validation
The results above indicate that both the AM and PM models are fully converged and provide a suitable platform in order to take forward and extract results
6. Model Convergence
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Model Calibration and
Validation
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7.1 Introduction
Following on from the convergence run, the VISSIM model was taken forward and multi-run in order to produce a
set of average traffic flow and journey time results. To enable a robust assessment, the results used in the model
calibration and validation represent an average of 10 simulation runs, for each of the AM and PM peaks, using
different random seeds.
7.2 Model Calibration
The purpose of model calibration is to ensure that the model traffic assignments are appropriate. The main
emphasis of the calibration is to ensure that in the modelled periods:
Traffic patterns in the area are modelled accurately;
Key junctions in the area are modelled accurately;
The correct level of traffic is getting through the network and equally the right levels are being suppressed;
Traffic volumes on side roads and alternative routes are modelled accurately.
Calibration is an iterative process in which the model is continually revised to ensure that the most accurate
replications of base year conditions are represented. This includes:
Checking the coding of the network;
Ensuring that the assignment procedure is appropriate;
Refining and adjustment of the trip matrices.
7.3 Calibration Checks
The following calibration checks were undertaken for each model period using the previously identified elements of
the survey database:
Checking the Coding of the Network
Assignment of the full-observed matrix to the base models provides a comprehensive check of the network. This
enables the construction of the junctions to be checked and also highlights any program error files to be
addressed. Any identified errors were subsequently corrected.
Model Calibration
To demonstrate that the model was working correctly comparisons were made between observed and modelled
turning counts and link flows. Traffic data used in the calibration included counts from the available survey
database. To test the robustness of the models, results were extracted for ten different seeds and the
corresponding average values were used.
7.4 Model Validation Criteria
The following paragraphs summarise the validation of the Wolverhampton City Centre VISSIM model which has
been undertaken to comply with current guidance and recommendations.
Network validation has been carried out in accordance with DMRB Volume 12a, Section 11.4. Current advice on
micro-simulation modelling is also contained in Interim Advice Note 36-01 ‘The Use and Application of Micro-
Simulation Models’. A summary of the acceptable criteria is listed in Table 7.1.
Criteria and Measures Acceptability Guideline
Assigned Hourly Flows * compared with observed flows.
1. Individual flows within 15% for flows 700-2700 vph 2. Individual flows within 100 vph for flows < 700 vph 3. Individual flows within 400 vph for flows >2700 vph 4. Total screenline flows (normally >5 links) to be within 5% 5. GEH statistic
i. Individual flows: GEH <5 ii. Screenline (+) totals: GEH <4
Notes:
+ Screenlines containing high flow routes such as motorways should be
provided both including and excluding such routing
* Link flows or turning movements
Modelled journey times compared with observed times.
6. Times within 15% (or 1 minute if higher) > 85% of routes
Table 7.1: Summary of Assignment Calibration and Validation Acceptability Guidelines.
Traffic Flow Comparison The observed and modelled flows were compared for each of the junction turning counts in accordance with the
criteria above. The permissible difference was then calculated for each value (based on the observed figure) and
compared to that which had been produced in the model. The results are summarised in Tables 7.2 and 7.3, for
the AM peak and Tables 7.4 and 7.5 for the PM peak.
7. Model Calibration and
Validation
All (or nearly all) screen lines
Greater than 85% of all cases
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Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of turning movements at junction where:
Individual flows within 100 vph for flows < 700 vph
Individual flows within 15% for flows 700-2700 vph
Individual flows within 400 vph for flows > 2700 vph
100 100 100 100 100 100 100 100 100 100
Table 7.2: Summary of Traffic Flow Validation – Turning Counts – AM Peak – 07:30 – 08:30 (All Vehicles)
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of turning movements at junction where:
Individual flows within 100 vph for flows < 700 vph
Individual flows within 15% for flows 700-2700 vph
Individual flows within 400 vph for flows > 2700 vph
100 100 100 100 100 100 100 100 100 100
Table 7.3: Summary of Traffic Flow Validation – Turning Counts – AM Peak – 07:30 – 08:30 (All Vehicles)
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of turning movements at junction where:
Individual flows within 100 vph for flows < 700 vph
Individual flows within 15% for flows 700-2700 vph
Individual flows within 400 vph for flows > 2700 vph
100 100 100 100 100 100 100 100 100 100
Table 7.4: Summary of Traffic Flow Validation – Turning Counts – PM Peak – 16:30 – 17:30 (All Vehicles)
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of turning movements at junction where:
Individual flows within 100 vph for flows < 700 vph
Individual flows within 15% for flows 700-2700 vph
Individual flows within 400 vph for flows > 2700 vph
100 100 100 100 100 100 100 100 100 100
Table 7.5: Summary of Traffic Flow Validation – Turning Counts – PM Peak – 17:30 – 18:30 (All Vehicles)
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From Tables 7.2 to 7.5 it can be seen that there is a high level of correlation between the modelled and observed
flows.
GEH Statistic The percentage difference between observed and modelled datasets can prove to be misleading given the relative
value of the difference. The standard method used to compare modelled values against observations on a link
therefore involves the calculation of the Geoff Havers (GEH) statistic, which is a form of the Chi-squared statistic,
incorporating both the relative and the absolute errors. The GEH statistic is defined as:
GEH = (V2 – V1)2 / (0.5(V1 + V2))
Where V1 and V2 are observed flows and modelled flows respectively.
As a general rule, when comparing assigned volumes with observed volumes, a GEH parameter of 5 or less
indicates an acceptable fit whilst a value greater than 10 requires closer attention. The objective is to get as high a
proportion of GEH statistics below the 5 mark and where this is not possible all below the 10 mark.
The calculated GEH statistic for the observed and modelled flows was considered for each of the turning counts in
accordance with the above criteria. The results are summarised below in Tables 7.6 to 7.9 for the turning counts
and are taken from the average of 10 random seeds for each of the AM and PM peaks.
Table 7.6: Summary of GEH Traffic Flow Calibration – Turning Counts – AM Peak – 07:30 – 08:30 (All Vehicles)
Table 7.7: Summary of GEH Traffic Flow Calibration – Turning Counts – AM Peak – 08:30 – 09:30 (All Vehicles)
Table 7.8: Summary of GEH Traffic Flow Calibration – Turning Counts – PM Peak – 16:30 – 17:30 (All Vehicles)
AM PEAK - 0730-0830
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of sites meeting GEH < 5 100 100 97 100 100 100 100 100 83 98
Percentage of sites meeting GEH < 10 100 100 100 100 100 100 100 100 100 100
AM PEAK - 0830-0930
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of sites meeting GEH < 5 100 100 97 100 100 100 100 100 83 98
Percentage of sites meeting GEH < 10 100 100 100 100 100 100 100 100 100 100
PM PEAK - 1630-1730
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of sites meeting GEH < 5 100 97 100 100 100 100 100 100 100 99
Percentage of sites meeting GEH < 10 100 100 100 100 100 100 100 100 100 100
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Table 7.9: Summary of GEH Traffic Flow Calibration – Turning Counts – PM Peak – 17:30 – 18:30 (All Vehicles)
Tables 7.6 to 7.9 demonstrate that the modelled flows represent a high correlation to the observed traffic data,
with a GEH statistic of below 5 observed for 98-99% of all turning movements within the respective AM and PM
peak hours. This provides further confirmation that the traffic movements around the network are comparable with
observed data to a reasonably high degree. Appendix C provides the full traffic flow validation results broken
down into vehicle groups.
When analysing the very small number of turning movements that returned a GEH statistic greater than 5, a
pattern emerged in the failures enabling conclusions to be drawn relating to the model performance.
Within the VISSIM model, route closure routing decisions have been used to limit the route choice throughout the
network and avoid unrealistic patterns of assignment. A total of four route closures have been used within the
model and these route closures are shown in Figure 7.1.
Given the aforementioned route closures within the VISSIM model, the left hand turning movement from Ring
Road St David’s to Horseley Fields (through Bilston Street Roundabout) has a modelled volume of zero
throughout all modelled scenarios. However, a very small volume of traffic is observed to make this turning
movement within the traffic counts, resulting in a GEH failure for this route.
The remaining turning movements that have a GEH statistic of above 5 are due to matrix estimation techniques
that have been used to balance turning movements between junctions and carry a consistent set of flows through
the network.
As outlined in Section 5.3, the traffic counts at Bilston Street Island and Horseley Fields / Corn Hill were from 2009
and although uplifted to 2012 using growth factors, the balance in flow between neighbouring arms meant that
some of these 2009 turning movements have been adjusted within the matrix to ensure a balanced set of flows
between neighbouring junctions. This matrix estimation approach is the reason why the modelled turning volume
from Ring Road St David’s to Bilston Street has a GEH statistic above 5, as the 2012 matrix volume is higher than
the 2009 observed count.
Finally, as outlined in Section 5.3, no traffic count data was available for the Horseley Fields / Middle Cross
junction. Therefore, the turning movements in the matrix at this junction were based on a combination of matrix
estimation techniques. One being where the flows from the neighbouring junctions were carried through the
network and the second being manual on-site observations. It is believed that the final turning movement with a
GEH statistic above 5 during the 07:30 – 08:30 and 08:30 – 09:30 period, which is the right hand turning
movement from Horseley Fields West to Middle Cross; is failing as a result of insufficient traffic count data.
Figure 7.1: Route Closure Routing Decisions within 2012 Base Model
PM PEAK - 1730-1830
Traffic Flow Calibration Criteria
Junction
Overall Railway Drive at Wolverhampton
Rail Station
Bilston Street / Pipers Row
Bilston Island Roundabout
Pipers Row / Railway Drive
Pipers Row / Tower Street
Pipers Row / Castle Street
Pipers Row / Queen Street
Horseley Fields / Corn Hill
Horseley Fields / Middle Cross
Percentage of sites meeting GEH < 5 100 95 97 100 100 100 100 100 100 98
Percentage of sites meeting GEH < 10 100 100 100 100 100 100 100 100 100 100
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Journey Time Validation As well as Traffic Flow validation, journey times have been used as a secondary validation measure. Journey time
survey information has been analysed for 22 individual O-D movements within the model, using Traffic Master
data.
The derived journey times have been compared against the VISSIM models, with all VISSIM results being
averaged 10 random seeds for both the AM and PM peaks. Tables 7.10 and 7.11 give the DMRB validation
summary, whilst the full journey times by route are assessed further within the section.
DMRB JT Validation Criteria No. Within Total Percentage
Percentage of Vehicles within 15% = 19 22 86%
Percentage of Vehicles within 60 seconds = 22 22 100%
Table 7.10: Summary of DMRB Journey Time Validation – AM Peak
DMRB JT Validation Criteria No. Within Total Percentage
Percentage of Vehicles within 15% = 20 22 91%
Percentage of Vehicles within 60 seconds = 22 22 100%
Table 7.11: Summary of DMRB Journey Time Validation – PM Peak
Tables 7.12 and 7.13 provide a full breakdown of the average modelled journey times per route against the
observed Traffic Master data for the AM and PM peak. The results demonstrate that within the respective AM and
PM 2012 Base models, 100% of modelled journey times validate to the 60 second DMRB criteria when compared
against the 22 observed routes.
When assessed against the 15% DMRB criteria, 86% of the AM routes (19 out of 22) validate within 15% of the
observed Traffic Master data, whilst for the PM peak 91% of the PM routes (20 out of 22) validate within 15% of
the observed Traffic Master data.
This shows that the model meets the desired DMRB levels of validation.
In the AM period, the following modelled journey times are not within +/- 15% of the observed journey time:
Ring Road St David’s to Bilston Road – JT difference of 29%;
Ring Road St David’s to Horseley Fields – JT difference of 39%;
Horseley Fields to Bilston Road – JT difference of 19%.
In the PM period, the following modelled journey times are not within +/- 15% of the observed journey time:
Ring Road St David’s to Horseley Fields – JT difference of 28%;
Horseley Fields to Ring Road St George’s – JT difference of 16%;
From the above list, it can be seen that two of the five routes are close to the 15% difference required by DMRB.
It is also evident that there appears to be an issue in travelling through the Horseley Fields / Middle Cross junction,
with four of the five routes travelling through this junction. A possible reason for this could be that the signal set-up
used at this junction and the adjacent Horseley Fields / Corn Hill junctions. These have currently been coded in
independently under VA control and it may be that that virtual linking is occurring in such a way that allows traffic
to pass through on a green wave (particularly for travelling eastbound from the Ring Road St David’s to Horseley
Fields). This possibility is backed up by the AM and PM modelled journey times being slower than those observed
from Ring Road St David’s to Horseley Fields.
However, overall, any potential issues do not prevent the model validating.
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AECOM WCCE – VISSIM Study: Local Model Validation Report 36
Table 7.12: AM Peak – Journey Time Validation
From To Journey Time (s) 0830-0930 Difference
Diff < 15%? Diff < 60 secs? Traffic Master Observed Modelled Avg Value %
A41 Bilston Rd Bilston Street 119 108 -11 -9% Y Y
A41 Bilston Rd Ring Road St David's 125 116 -9 -7% Y Y
A41 Bilston Rd Queen Street 139 137 -2 -2% Y Y
Ring Road St George's A41 Bilston Rd 94 89 -5 -5% Y Y
Ring Road St George's Bilston Street 84 72 -12 -15% Y Y
Ring Road St George's Ring Road St David's 90 90 0 0% Y Y
Ring Road St George's Horseley Fields 150 131 -19 -13% Y Y
Ring Road St George's Piper's Row 119 112 -7 -6% Y Y
Ring Road St David's A41 Bilston Rd 92 119 27 29% N Y
Ring Road St David's Ring Road St George's 124 127 3 2% Y Y
Ring Road St David's Corn Hill 40 41 2 4% Y Y
Ring Road St David's Horseley Fields 83 116 32 39% N Y
Horseley Fields Ring Road St George's 150 130 -20 -13% Y Y
Horseley Fields A41 Bilston Rd 119 96 -23 -19% N Y
Horseley Fields Ring Road St David's 175 186 11 6% Y Y
Bilston Street A41 Bilston Rd 104 110 5 5% Y Y
Bilston Street Ring Road St George's 136 134 -2 -2% Y Y
Bilston Street Queen Street 58 58 1 1% Y Y
Bilston Street Ring Road St David's 100 101 0 0% Y Y
Bilston Street Horseley Fields 160 161 0 0% Y Y
Pipers Row A41 Bilston Rd 132 112 -20 -15% Y Y
Pipers Row Ring Road St George's 164 147 -16 -10% Y Y
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AECOM WCCE – VISSIM Study: Local Model Validation Report 37
Table 7.13: PM Peak – Journey Time Validation
From To Journey Time (s) 1730-1830 Difference
Diff < 15%? Diff < 60 secs?
Traffic Master Observed Modelled Avg Value %
A41 Bilston Rd Bilston Street 114 98 -16 -14% Y Y
A41 Bilston Rd Ring Road St David's 124 114 -10 -8% Y Y
A41 Bilston Rd Queen Street 134 127 -7 -5% Y Y
Ring Road St George's A41 Bilston Rd 104 104 1 1% Y Y
Ring Road St George's Bilston Street 89 81 -8 -9% Y Y
Ring Road St George's Ring Road St David's 98 105 7 7% Y Y
Ring Road St George's Horseley Fields 136 144 8 6% Y Y
Ring Road St George's Piper's Row 126 120 -5 -4% Y Y
Ring Road St David's A41 Bilston Rd 83 77 -6 -7% Y Y
Ring Road St David's Ring Road St George's 122 122 -1 -1% Y Y
Ring Road St David's Corn Hill 37 39 2 6% Y Y
Ring Road St David's Horseley Fields 90 115 25 28% N Y
Horseley Fields Ring Road St George's 145 121 -23 -16% N Y
Horseley Fields A41 Bilston Rd 105 90 -16 -15% Y Y
Horseley Fields Ring Road St David's 154 153 -1 -1% Y Y
Bilston Street A41 Bilston Rd 108 104 -4 -3% Y Y
Bilston Street Ring Road St George's 148 143 -4 -3% Y Y
Bilston Street Queen Street 61 59 -2 -3% Y Y
Bilston Street Ring Road St David's 102 96 -6 -6% Y Y
Bilston Street Horseley Fields 140 148 8 5% Y Y
Pipers Row A41 Bilston Rd 124 116 -7 -6% Y Y
Pipers Row Ring Road St George's 163 157 -6 -4% Y Y
43
AECOM WCCE – VISSIM Study: Local Model Validation Report 38
Conclusions
44
AECOM WCCE – VISSIM Study: Local Model Validation Report 39
8.1 Summary of Traffic Model Calibration and Validation
Traffic Flow Validation The VISSIM model produce an excellent level of validation to DMRB flow and GEH criteria with 100% of turning
movements in all modelled scenarios complying with the flow criteria.
GEH Statistic Validation The VISSIM model demonstrates a high level of validation with the GEH statistic, with over 98% of the flows
having a GEH < 5 (against a desired percentage of 85%). It was concluded that the minute number of turning
movements that had a GEH statistic of above 5, were not an indication of operational performance errors within
the model, but a result of the inclusion of ‘route closure’ routing decisions combined with limitations in the
availability of observed traffic data within the vicinity of the Horseley Fields / Middle Cross junction.
Journey Time Validation The VISSIM models achieve a good level of validation against observed journey times, with 100% of routes
validating against the DMRB criteria of modelled journey times being within 60 seconds of observed journey time.
22 out of 22 modelled journey times fulfilled this criterion.
The VISSIM model also achieves an good level of validation when using the DMRB criteria of modelled journey
times being within +/-15% of the observed. 86% (19 of 22) of routes validate against this criterion for the AM
peak and 92% (20 of 22) of routes validate for the PM peak.
DMRB criteria require a minimum of 85% of routes to meet these criteria.
Overall Conclusion
The models are therefore deemed fit for purpose for future testing.
8. Conclusions
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AECOM WCCE – VISSIM Study: Local Model Validation Report 40
Appendices
46
AECOM WCCE – VISSIM Study: Local Model Validation Report 41
47
AECOM WCCE – VISSIM Study: Local Model Validation Report 42
Appendix A – VISSIM Driving Behaviour Parameters
48
AECOM WCCE – VISSIM Study: Local Model Validation Report 43
Driving Behaviour Urban (motorised) Merge
Car following model Wiedemann 74 Wiedemann 99
Look ahead distance (min, max) 0.00m, 250.00m 0.00m, 250.00m
No. of observed vehicles 4 2
Look back distance (min, max) 0.00m, 150.00m 0.00m, 150.00m
Average standstill distance 1.50m -
Additive part of safety distance 1.50 -
Multiplic part of safety distance 2.50 -
CC0 (Standstill Distance) - 1.50m
CC1 (Headway Time) - 0.9s
CC2 (‘Following’ Variation) - 4.00m
CC3 (Threshold for entering ‘following’) - -8.00
CC4 (Negative ‘following’ threshold) - -0.35
CC5 (Positive ‘following’ threshold) - 0.35
CC6 (Speed dependency of oscillation) - 11.44
CC7 (Oscillation acceleration) - 0.25m/s²
CC8 (Standstill acceleration) - 3.50m/s²
CC9 (Acceleration at 50mph) - 1.50m/s²
General Behaviour Free Lane Selection Free Lane Selection
Own Trailing Vehicle Own Trailing Vehicle
Maximum deceleration -4.00 m/s² -3.00 m/s² -4.00 m/s² -4.00 m/s²
-1 m/s² per distance 100.00m 100.00m 100.00m 100.00m
Accepted deceleration -1.00 m/s² -1.00 m/s² -1.00 m/s² -1.50 m/s²
Waiting time before diffusion 60.00s 60.00s
Min. Headway (front/rear) 0.50m 0.50m
To slower lane if collision time above - -
Safety distance reduction factor 0.60 0.10
Maximum deceleration for cooperative braking -3.00 m/s² -9.00 m/s²
49
AECOM WCCE – VISSIM Study: Local Model Validation Report 44
Appendix B – VISSIM Matrices
50
AECOM WCCE – VISSIM Study: Local Model Validation Report 45
AM PEAK
CARS – 0700-0730 HGVS – 0700-0730
CARS – 0730-0830 HGVS – 0730-0830
CARS – 0830-0930 HGVS – 0830-0930
TAXIS – 0700-0730
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AECOM WCCE – VISSIM Study: Local Model Validation Report 46
TAXIS – 0730-0830
TAXIS – 0830-0930
PM PEAK
CARS – 1600-1630 HGVS – 1600-1630
CARS – 1630-1730 HGVS – 1630-1730
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AECOM WCCE – VISSIM Study: Local Model Validation Report 47
CARS – 1730-1830 HGVS – 1730-1830
TAXIS – 1600-1630
TAXIS – 1630-1730
TAXIS – 1730-1830
53
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AECOM WCCE – VISSIM Study: Local Model Validation Report 48
Appendix C – Traffic Flow Validation
55
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AECOM WCCE – VISSIM Study: Local Model Validation Report 49
AM – 0730-0830
Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park
NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
15 5 Car Park 704 155704 Railway Drive West 2 2 0 9% 0.1 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 2 2 0 9% 0.1 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK
15 704 Railway Drive East 704 15704704 Railway Drive West 300 334 34 -11% 1.9 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 273 274 1 0% 0.0 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 1 1 0 0% 0.0 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 26 62 36 -138% 5.4 N Y Y OK
15 702 Railway Drive West 3 157023 Car park 117 117 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 93 94 1 -1% 0.1 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 24 23 -1 4% 0.2 Y Y Y OK
15 702 Railway Drive West 702 15702702 Railway Drive East 290 289 -1 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 264 264 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 26 27 1 -3% 0.2 Y Y Y OK
Total Vehicles 709 742 33 5% Total Vehicles 632 633 1 0% Total Vehicles 1 1 0 0% Total Vehicles 76 112 36 47%
4 100.00 4 100.00 4 100.00 3 75.00
0 0 0 1
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
Bilston Street/Pipers Row Bilston Road/Pipers Row Bilston Road/Pippers Row Bilston Road/Pippers Row
NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 8 8 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169 Bilston Road Tram West 8 8 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169 Bilston Road Tram West 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837 1238 Bilston Road East 1238 83712381238 Bilston Road West 222 216 -6 3% 0.4 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 210 205 -5 3% 0.4 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 12 11 -1 6% 0.2 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 0 0 0 0% 0.0 Y Y Y OK
837 408 Bilston Road East 1696 8374081696 Pipers Road 201 200 -1 0% 0.1 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 193 200 7 -4% 0.5 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 4 2 -2 53% 1.2 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 1 2 1 -80% 0.7 Y Y Y OK
837 14 Pipers Road 1237 837141237 Bilston Road East 85 91 6 -7% 0.6 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 74 80 6 -8% 0.7 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 1 2 1 -100% 0.8 Y Y Y OK
837 1237 Bilston Road West 1237 83712371237 Bilston Road East 228 231 3 -1% 0.2 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 149 150 1 -1% 0.1 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 19 19 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK
837 1237 Bilston Road West 1696 83712371696 Pipers Road 42 42 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 35 35 0 1% 0.1 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 0 0 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 1 1 0 0% 0.0 Y Y Y OK
Total Vehicles 794 796 2 0% Total Vehicles 661 670 8 1% Total Vehicles 35 32 -3 -8% Total Vehicles 3 5 2 60%
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout
NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
841 169 Tram East 169 841169169 Tram West 7 7 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 1238 841731238 Bilston St (Left) 66 65 -1 1% 0.1 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 62 61 -1 2% 0.1 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 4 4 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 408 84173408 Bilston St (Right) 58 58 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 57 58 1 -1% 0.1 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 1 1 0 27% 0.3 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 18 8417318 Middle Cross 367 356 -11 3% 0.6 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 358 350 -8 2% 0.4 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 9 9 0 5% 0.1 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 20 8417320 Bilston Road 242 238 -4 1% 0.2 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 231 227 -4 2% 0.3 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 11 11 0 4% 0.1 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 7 841737 Ring Road North bus 2 2 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 17 8417317 Ring Road North 720 706 -14 2% 0.5 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 702 694 -8 1% 0.3 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 18 18 0 -2% 0.1 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 1238 841211238 Bilston St (Left) 57 55 -2 4% 0.3 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 57 56 -1 2% 0.2 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 408 84121408 Bilston St (Right) 56 54 -2 4% 0.3 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 52 50 -2 4% 0.3 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 1 1 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 18 8412118 Middle Cross 42 42 0 -1% 0.1 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 34 34 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 8 8 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 7 841217 Ring Road North bus 8 8 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 17 8412117 Ring Road North 391 382 -9 2% 0.5 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 383 378 -5 1% 0.3 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 8 8 0 -2% 0.1 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 22 8412122 Ring Road South 155 153 -2 2% 0.2 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 144 143 -1 1% 0.1 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 12 12 0 1% 0.0 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 172 Tram West 172 841172172 Tram East 8 8 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 18 841123718 Middle Cross 57 65 8 -13% 1.0 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 43 50 7 -16% 1.0 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 4 4 0 -1% 0.0 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 0 1 1 0% 1.4 Y Y Y OK
841 1237 Bilston St 20 841123720 Bilston Road 83 81 -2 2% 0.2 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 67 64 -3 4% 0.3 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 1 1 0 -11% 0.1 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 1 1 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 7 84112377 Ring Road North bus 42 42 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 17 841123717 Ring Road North 61 61 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 55 58 3 -5% 0.4 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 6 6 0 2% 0.1 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 22 841123722 Ring Road South 69 69 0 -1% 0.0 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 59 57 -2 3% 0.3 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 8 8 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 1238 841851238 Bilston St (Left) 46 49 3 -7% 0.5 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 42 44 2 -4% 0.3 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 4 4 0 -2% 0.0 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 408 84185408 Bilston St (Right) 40 47 7 -18% 1.1 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 39 47 8 -22% 1.3 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 1 0 -1 100% 1.6 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 18 8418518 Middle Cross 23 0 -23 100% 6.7 N Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 22 0 -22 100% 6.6 N Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 1 0 -1 100% 1.4 Y Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 20 8418520 Bilston Road 606 578 -28 5% 1.1 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 580 556 -24 4% 1.0 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 26 25 0 1% 0.1 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 22 8418522 Ring Road South 622 618 -4 1% 0.1 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 585 590 5 -1% 0.2 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 37 36 -1 3% 0.2 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 1238 841281238 Bilston St (Left) 53 47 -6 12% 0.9 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 49 44 -5 10% 0.7 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 4 4 -1 15% 0.3 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 408 84128408 Bilston St (Right) 46 44 -2 5% 0.4 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 45 46 1 -3% 0.2 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 1 1 0 33% 0.4 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 0 1 1 0% 1.3 Y Y Y OK
841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 20 8412820 Bilston Road 60 57 -3 6% 0.4 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 56 52 -4 8% 0.6 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 4 4 0 7% 0.1 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 7 841287 Ring Road North bus 8 8 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 17 8412817 Ring Road North 339 308 -31 9% 1.7 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 302 273 -29 10% 1.7 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 37 37 0 -1% 0.1 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 22 8412822 Ring Road South 312 286 -26 8% 1.5 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 306 280 -26 8% 1.5 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 6 6 0 -4% 0.1 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 168 156 -12 -7% Total Vehicles 150 143 -8 -5% Total Vehicles 10 9 -1 -14% Total Vehicles 0 1 1 #DIV/0!
37 97.37 37 97.37 38 100.00 38 100.00
1 1 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive
NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
842 40 Fryer Street 33 8424033 Lichfield Street 3 3 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 1 1 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 1 1 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 1 1 0 0% 0.0 Y Y Y OK
842 40 Fryer Street 702 84240702 Railway Drive 238 252 14 -6% 0.9 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 238 238 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 0 13 13 0% 5.1 N Y Y OK
842 40 Fryer Street 107 84240107 Pipers Row 14 14 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 14 15 1 -4% 0.2 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK
842 76 Lichfield Street 41 8427641 Fryer St 5 5 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 3 3 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 1 1 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 1 1 0 0% 0.0 Y Y Y OK
842 76 Lichfield Street 702 84276702 Railway Drive 125 127 3 -2% 0.2 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 90 91 1 -1% 0.1 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 35 36 1 -4% 0.2 Y Y Y OK
842 76 Lichfield Street 107 84276107 Pipers Row 32 33 1 -3% 0.2 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 22 23 1 -5% 0.2 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK
842 704 Railway Drive 33 84270433 Lichfield Street 142 139 -3 2% 0.2 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 99 98 -1 1% 0.1 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 43 43 0 0% 0.0 Y Y Y OK
842 704 Railway Drive 41 84270441 Fryer St 158 157 -1 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 139 138 -1 1% 0.1 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 1 1 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 18 17 -1 4% 0.2 Y Y Y OK
842 704 Railway Drive 107 842704107 Pipers Row 41 41 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 39 39 0 -1% 0.0 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 2 2 0 0% 0.0 Y Y Y OK
842 420 Pipers Row 33 84242033 Lichfield Street 84 84 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 29 30 1 -3% 0.2 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK
842 420 Pipers Row 41 84242041 Fryer St 19 19 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 17 17 0 2% 0.1 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 0 0 0 0% 0.0 Y Y Y OK
842 420 Pipers Row 702 842420702 Railway Drive 33 28 -5 15% 0.9 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 31 28 -3 8% 0.5 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 2 2 0 5% 0.1 Y Y Y OK
Total Vehicles 893 902 10 1% Total Vehicles 722 721 -1 0% Total Vehicles 3 3 0 0% Total Vehicles 101 114 14 14%
12 100.00 12 100.00 12 100.00 11 91.67
0 0 0 1
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street
NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 100% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 100% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 100% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 100% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 413 85943413 Tower St 11 11 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 107 85943107 Pipers Row South 8 8 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 420 85943420 Pipers Row North 58 58 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 100% 0.6 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 100% 0.6 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 107 85988107 Pipers Row South 2 2 0 -8% 0.1 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 2 2 0 -8% 0.1 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 420 85988420 Pipers Row North 1 0 -1 100% 1.4 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 1 0 -1 100% 1.4 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 36 85941636 Court Car Park 6 6 0 -5% 0.1 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 6 6 0 -5% 0.1 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 87 85941687 Pipers Row Car Park 2 2 0 19% 0.3 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 2 2 0 19% 0.3 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 107 859416107 Pipers Row South 12 12 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 12 12 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 420 859416420 Pipers Row North 43 44 1 -1% 0.1 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 42 43 0 -1% 0.1 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 1 1 0 0% 0.0 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 0 1 1 0% 1.4 Y Y Y OK
859 1696 Pipers Row South 36 859169636 Court Car Park 24 25 1 -3% 0.1 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 24 24 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 11 10 -1 5% 0.2 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 11 11 0 -1% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 413 8591696413 Tower St 15 14 -1 7% 0.3 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 15 16 1 -3% 0.1 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 420 8591696420 Pipers Row North 192 193 1 -1% 0.1 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 180 184 5 -3% 0.3 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 1 2 1 -100% 0.8 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 2 2 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 413 859107413 Tower St 5 4 -1 15% 0.3 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 5 4 0 10% 0.2 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 107 859107107 Pipers Row South 63 70 7 -11% 0.9 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 60 66 6 -11% 0.8 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 1 0 -1 100% 1.4 Y Y Y OK
Total Vehicles 453 459 6 1% Total Vehicles 360 370 10 3% Total Vehicles 2 3 1 50% Total Vehicles 3 3 0 0%
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Difference GEH Individua
l Flows
Flow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individua
l Flows
Site
AM Peak Traffic Flow Validation - ALL Vehicles AM Peak Traffic Flow Validation - Cars AM Peak Traffic Flow Validation - HGVs (excluding buses) AM Peak Traffic Flow Validation - Taxis
Site Flow 0730-0830 Difference GEH Individual
Flows
57
AECOM WCCE – VISSIM Study: Local Model Validation Report 50
Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street
Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
420 Pipers Row South 417 860420417 Castle Street 104 107 3 -3% 0.3 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 104 106 2 -2% 0.2 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 0 0 0 0% 0.0 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 0 1 1 0% 1.3 Y Y Y OK
420 Pipers Row South 420 860420420 Pipers Row North 190 188 -2 1% 0.1 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 119 121 2 -2% 0.2 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 2 3 1 -45% 0.6 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 2 2 0 5% 0.1 Y Y Y OK
107 Pipers Row North 107 860107107 Pipers Row South 64 74 10 -16% 1.2 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 61 71 10 -16% 1.2 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 1 2 1 -100% 0.8 Y Y Y OK
Total Vehicles 358 369 11 3% Total Vehicles 284 298 14 5% Total Vehicles 2 3 1 45% Total Vehicles 3 5 2 60%
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street
NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From To Observed Modelled Value % Value <5 <7.5 <10
107 Pipers Row North 412 861107412 Berry Street 14 13 -1 7% 0.3 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 6 6 0 -3% 0.1 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 0 0 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 0 0 0 0% 0.0 Y Y Y OK
107 Pipers Row North 107 861107107 Pipers Row South 67 76 9 -13% 1.1 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 65 71 6 -9% 0.7 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 0 2 2 0% 2.0 Y Y Y OK
420 Pipers Row South 410 861420410 Queen Street 28 27 -1 4% 0.2 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 28 29 1 -5% 0.3 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 0 0 0 0% 0.0 Y Y Y OK
420 Pipers Row South 412 861420412 Berry Street 26 29 3 -12% 0.6 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 14 16 2 -12% 0.4 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 2 3 1 -45% 0.6 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 0 0 0 0% 0.0 Y Y Y OK
420 Pipers Row South 420 861420420 Pipers Row North 136 132 -4 3% 0.3 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 77 75 -2 2% 0.2 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 2 2 0 5% 0.1 Y Y Y OK
Total Vehicles 271 277 6 2% Total Vehicles 190 198 8 4% Total Vehicles 2 3 1 45% Total Vehicles 2 4 2 95%
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill
NODE 881 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
6 Horseley Fields W 32 881632 Corn Hill 4 4 0 -1% 0.0 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 4 4 0 -1% 0.0 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
6 Horseley Fields W 6 88166 Horseley Fields E 604 556 -48 8% 2.0 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 568 526 -43 7% 1.8 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 36 36 0 0% 0.0 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
34 Corn Hill 6 881346 Horseley Fields E 32 27 -5 15% 0.9 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 20 27 7 -33% 1.3 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 12 0 -12 100% 4.9 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 0 1 1 0% 1.4 Y Y Y OK
54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 640 587 -53 -8% Total Vehicles 592 556 -36 -6% Total Vehicles 48 36 -12 -25% Total Vehicles 0 1 1 #DIV/0!
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross
NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
18 Middle Cross 82 8821882 Horseley Fields E 414 387 -27 7% 1.3 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 382 361 -21 5% 1.1 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 22 20 -2 10% 0.5 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 0 1 1 0% 1.4 Y Y Y OK
18 Middle Cross 52 8821852 Horseley Fields W 75 72 -3 4% 0.3 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 75 69 -6 8% 0.7 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
19 Horseley Fields E 19 8821919 Middle Cross 743 732 -11 1% 0.4 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 683 681 -3 0% 0.1 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 52 52 0 1% 0.0 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
12 Horseley Fields E 52 8821252 Horseley Fields W 37 37 0 0% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 37 37 -1 1% 0.1 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
9 Horseley Fields W 19 882919 Middle Cross 75 23 -52 69% 7.4 N Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 75 26 -49 66% 6.9 N Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 0 1 1 0% 1.3 Y Y Y OK
6 Horseley Fields W 82 882682 Horseley Fields E 549 556 7 -1% 0.3 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 513 526 13 -3% 0.6 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 36 36 0 1% 0.1 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 1893 1807 -86 -5% Total Vehicles 1766 1699 -66 -4% Total Vehicles 110 108 -3 -2% Total Vehicles 0 2 2 #DIV/0!
5 83.33 5 83.33 6 100.00 6 100.00
1 1 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
Validation Summary Validation Summary Validation Summary Validation Summary
AM peak All Vehicles Flow 0730-0830 AM peak All Vehicles Flow 0730-0830 AM peak All Vehicles Flow 0730-0830 Flow 0730-0830 AM peak All Vehicles Flow 0730-0830 Flow 0730-0830
102 98.08 102 98.08 104 100.00 103 99.04
2 2 0 1
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
99 100.00 104 100.00 80 100.00 30 100.00
0 0 0 0
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0730-0830 DifferenceFlow 0730-0830 Difference GEH Individua
l Flows
Site Flow 0730-0830Site Flow 0730-0830 Difference GEH Individual
Flows
Site
58
AECOM WCCE – VISSIM Study: Local Model Validation Report 51
AM – 0830-0930
Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park
NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
15 5 Car Park 704 155704 Railway Drive West 1 2 1 -40% 0.4 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 1 2 1 -40% 0.4 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK
15 704 Railway Drive East 704 15704704 Railway Drive West 168 219 51 -31% 3.7 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 149 159 10 -7% 0.8 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 19 60 41 -217% 6.5 N Y Y OK
15 702 Railway Drive West 3 157023 Car park 125 124 -1 1% 0.1 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 74 75 1 -2% 0.1 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 51 49 -2 4% 0.3 Y Y Y OK
15 702 Railway Drive West 702 15702702 Railway Drive East 179 189 10 -6% 0.8 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 163 171 8 -5% 0.6 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 16 19 3 -16% 0.6 Y Y Y OK
Total Vehicles 473 534 61 13% Total Vehicles 387 407 20 5% Total Cars 0 0 0 #DIV/0! Total Vehicles 86 128 42 48%
4 100.00 4 100.00 4 100.00 3 75.00
0 0 0 1
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
Bilston Street/Pipers Row Bilston Road/Pipers Row Bilston Road/Pippers Row Bilston Road/Pippers Row
NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 10 10 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169 Bilston Road Tram West 8 8 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169 Bilston Road Tram West 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837 1238 Bilston Road East 1238 83712381238 Bilston Road West 420 413 -7 2% 0.4 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 414 406 -8 2% 0.4 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 6 7 1 -10% 0.2 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 0 0 0 0% 0.0 Y Y Y OK
837 408 Bilston Road East 1696 8374081696 Pipers Road 270 312 42 -16% 2.5 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 252 293 41 -16% 2.5 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 5 6 1 -18% 0.4 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 5 5 0 -8% 0.2 Y Y Y OK
837 14 Pipers Road 1237 837141237 Bilston Road East 84 104 20 -24% 2.1 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 70 83 13 -18% 1.5 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 0 2 2 0% 1.9 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 2 8 6 -290% 2.6 Y Y Y OK
837 1237 Bilston Road West 1237 83712371237 Bilston Road East 281 284 3 -1% 0.2 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 200 201 1 -1% 0.1 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 19 19 0 2% 0.1 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK
837 1237 Bilston Road West 1696 83712371696 Pipers Road 45 42 -3 7% 0.5 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 37 35 -2 6% 0.4 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 0 0 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 1 0 -1 100% 1.4 Y Y Y OK
Total Vehicles 1118 1172 54 5% Total Vehicles 973 1018 45 5% Total Cars 30 33 3 10% Total Vehicles 8 13 5 65%
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout
NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
841 169 Tram East 169 841169169 Tram West 8 8 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 1238 841731238 Bilston St (Left) 121 120 -2 1% 0.2 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 121 119 -2 2% 0.2 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 0 0 0 0% 0.8 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 408 84173408 Bilston St (Right) 75 74 -1 1% 0.1 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 74 74 0 -1% 0.1 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 0 0 0 0% 0.4 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 1 0 -1 100% 1.6 Y Y Y OK
841 73 Ring Road South 18 8417318 Middle Cross 255 260 4 -2% 0.3 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 241 245 4 -2% 0.3 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 15 15 0 -1% 0.0 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 20 8417320 Bilston Road 203 205 2 -1% 0.1 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 197 199 2 -1% 0.1 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 6 6 0 -4% 0.1 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 7 841737 Ring Road North bus 4 4 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 17 8417317 Ring Road North 616 619 3 -1% 0.1 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 601 604 3 -1% 0.1 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 15 15 0 -2% 0.1 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 1238 841211238 Bilston St (Left) 101 100 -1 1% 0.1 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 98 97 -1 1% 0.1 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 3 3 0 -11% 0.2 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 408 84121408 Bilston St (Right) 68 66 -2 3% 0.3 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 60 59 -1 1% 0.1 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 2 2 0 11% 0.2 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 1 0 -1 92% 1.4 Y Y Y OK
841 21 Bilston Road 18 8412118 Middle Cross 36 36 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 29 29 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 7 7 0 -1% 0.0 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 7 841217 Ring Road North bus 10 10 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 17 8412117 Ring Road North 422 422 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 387 387 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 35 35 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 22 8412122 Ring Road South 227 224 -3 1% 0.2 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 214 211 -3 1% 0.2 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 13 13 0 -1% 0.0 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 172 Tram West 172 841172172 Tram East 10 10 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 18 841123718 Middle Cross 84 97 13 -16% 1.4 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 67 75 8 -12% 0.9 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 5 5 0 3% 0.1 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 0 6 6 0% 3.4 Y Y Y OK
841 1237 Bilston St 20 841123720 Bilston Road 102 98 -4 4% 0.4 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 81 78 -4 5% 0.4 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 6 6 0 1% 0.0 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 1 1 0 10% 0.1 Y Y Y OK
841 1237 Bilston St 7 84112377 Ring Road North bus 47 47 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 17 841123717 Ring Road North 64 77 13 -20% 1.5 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 59 70 11 -18% 1.3 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 5 7 2 -41% 0.8 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 22 841123722 Ring Road South 71 69 -2 2% 0.2 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 64 62 -2 3% 0.2 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 3 3 0 -8% 0.1 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 1 1 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 1238 841851238 Bilston St (Left) 123 125 2 -2% 0.2 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 123 125 2 -2% 0.2 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 0 0 0 0% 0.6 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 408 84185408 Bilston St (Right) 76 112 36 -47% 3.7 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 75 111 36 -49% 3.8 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 0 1 1 0% 1.4 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 1 0 -1 100% 1.6 Y Y Y OK
841 85 Ring Road North 18 8418518 Middle Cross 32 0 -32 100% 8.0 N N Y OK 841 85 Ring Road North 18 8418518 Middle Cross 29 0 -29 100% 7.6 N N Y OK 841 85 Ring Road North 18 8418518 Middle Cross 3 0 -3 100% 2.4 Y Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 20 8418520 Bilston Road 514 549 35 -7% 1.5 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 493 527 34 -7% 1.5 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 21 22 1 -5% 0.2 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 22 8418522 Ring Road South 557 599 41 -7% 1.7 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 488 530 42 -9% 1.8 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 69 69 -1 1% 0.1 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 1238 841281238 Bilston St (Left) 75 68 -7 9% 0.8 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 72 65 -7 10% 0.8 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 3 3 0 4% 0.1 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 408 84128408 Bilston St (Right) 51 59 8 -16% 1.1 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 44 48 4 -9% 0.6 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 3 3 0 -4% 0.1 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 1 5 4 -324% 2.2 Y Y Y OK
841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 20 8412820 Bilston Road 51 48 -3 6% 0.4 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 48 44 -3 7% 0.5 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 4 4 0 -6% 0.1 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 7 841287 Ring Road North bus 8 8 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 17 8412817 Ring Road North 315 298 -17 6% 1.0 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 291 273 -19 6% 1.1 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 24 25 1 -5% 0.3 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 22 8412822 Ring Road South 387 360 -27 7% 1.4 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 378 351 -27 7% 1.4 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 9 9 0 -1% 0.0 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 185 183 -2 -1% Total Vehicles 163 157 -6 -4% Total Cars 10 10 0 2% Total Vehicles 1 5 4 324%
37 97.37 37 97.37 38 100.00 38 100.00
1 1 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive
NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
842 40 Fryer Street 33 8424033 Lichfield Street 6 6 0 2% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 6 6 0 2% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK
842 40 Fryer Street 702 84240702 Railway Drive 163 163 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 136 137 1 -1% 0.1 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 1 0 -1 100% 1.4 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 26 26 0 0% 0.0 Y Y Y OK
842 40 Fryer Street 107 84240107 Pipers Row 28 29 1 -4% 0.2 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 25 25 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 0 1 1 0% 1.4 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 1 1 0 0% 0.0 Y Y Y OK
842 76 Lichfield Street 41 8427641 Fryer St 34 34 0 1% 0.1 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 12 12 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 22 22 0 2% 0.1 Y Y Y OK
842 76 Lichfield Street 702 84276702 Railway Drive 110 110 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 68 68 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 42 42 -1 1% 0.1 Y Y Y OK
842 76 Lichfield Street 107 84276107 Pipers Row 42 42 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 22 22 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 1 1 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 7 7 0 1% 0.0 Y Y Y OK
842 704 Railway Drive 33 84270433 Lichfield Street 85 85 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 54 54 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 31 31 0 0% 0.0 Y Y Y OK
842 704 Railway Drive 41 84270441 Fryer St 108 107 29 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 78 78 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 30 29 0 1% 0.1 Y Y Y OK
842 704 Railway Drive 107 842704107 Pipers Row 22 31 11 -41% 1.7 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 20 30 10 -50% 2.0 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 2 1 -1 50% 0.8 Y Y Y OK
842 420 Pipers Row 33 84242033 Lichfield Street 73 73 50 0% 0.0 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 23 23 0 1% 0.0 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK
842 420 Pipers Row 41 84242041 Fryer St 23 22 3 4% 0.2 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 19 20 1 -5% 0.2 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 2 0 -2 100% 2.0 Y Y Y OK
842 420 Pipers Row 702 842420702 Railway Drive 17 39 24 -132% 4.2 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 15 39 24 -162% 4.7 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 2 0 -2 95% 1.9 Y Y Y OK
Total Vehicles 710 740 118 17% Total Vehicles 478 515 37 8% Total Cars 2 2 0 0% Total Vehicles 164 158 -6 -4%
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street
NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 107 85930107 Pipers Row South 1 1 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 1 1 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 413 85943413 Tower St 12 12 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 107 85943107 Pipers Row South 9 9 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 420 85943420 Pipers Row North 53 53 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 100% 0.3 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 100% 0.3 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 100% 0.5 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 100% 0.5 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 107 85988107 Pipers Row South 1 1 0 -29% 0.2 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 1 1 0 -29% 0.2 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 36 85941636 Court Car Park 7 7 0 0% 0.0 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 7 7 0 -3% 0.1 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 100% 0.6 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 87 85941687 Pipers Row Car Park 9 9 -1 8% 0.2 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 9 9 -1 8% 0.2 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 107 859416107 Pipers Row South 24 24 0 1% 0.1 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 24 24 0 1% 0.1 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 420 859416420 Pipers Row North 62 61 -1 2% 0.2 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 62 61 -1 1% 0.1 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 1 0 -1 100% 1.3 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 36 859169636 Court Car Park 23 24 1 -3% 0.1 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 22 23 1 -3% 0.1 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 1 1 0 -13% 0.1 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 31 30 -2 5% 0.3 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 31 30 -2 5% 0.3 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 413 8591696413 Tower St 30 32 2 -7% 0.4 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 30 31 1 -4% 0.2 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 0 1 1 0% 1.4 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 420 8591696420 Pipers Row North 230 269 39 -17% 2.5 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 206 244 39 -19% 2.6 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 3 4 1 -25% 0.4 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 6 5 -1 10% 0.3 Y Y Y OK
859 107 Pipers Row North 36 85910736 Court Car Park 5 4 -1 22% 0.5 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 3 3 0 -1% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 2 1 -1 55% 0.9 Y Y Y OK
859 107 Pipers Row North 87 85910787 Pipers Row Car Park 4 3 -1 25% 0.5 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 4 3 -1 25% 0.5 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 413 859107413 Tower St 7 7 0 5% 0.1 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 7 7 0 5% 0.1 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 107 859107107 Pipers Row South 46 70 24 -52% 3.1 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 41 58 17 -41% 2.4 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 0 1 1 0% 1.4 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 2 8 6 -295% 2.7 Y Y Y OK
9520 5279
Total Vehicles 555 614 59 11% Total Vehicles 447 500 53 12% Total Cars 6 8 2 32% Total Vehicles 10 14 4 42%
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Difference GEH Individua
l Flows
Flow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individua
l Flows
Site
AM Peak Traffic Flow Validation - ALL Vehicles AM Peak Traffic Flow Validation - Cars AM Peak Traffic Flow Validation - HGVs (excluding buses) AM Peak Traffic Flow Validation - Taxis
Site Flow 0830-0930 Difference GEH Individual
Flows
59
AECOM WCCE – VISSIM Study: Local Model Validation Report 52
Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street
Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
860 420 Pipers Row South 417 860420417 Castle Street 125 136 11 -9% 1.0 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 121 129 8 -7% 0.7 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 2 2 0 0% 0.0 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 2 5 3 -165% 1.7 Y Y Y OK
860 420 Pipers Row South 420 860420420 Pipers Row North 221 246 25 -11% 1.6 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 147 176 29 -20% 2.3 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 2 2 0 0% 0.0 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 4 0 -4 98% 2.7 Y Y Y OK
860 107 Pipers Row North 107 860107107 Pipers Row South 61 84 23 -38% 2.7 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 53 71 18 -34% 2.3 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 0 1 1 0% 1.4 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 4 9 5 -123% 1.9 Y Y Y OK
Total Vehicles 407 467 60 15% Total Vehicles 321 376 55 17% Total Cars 4 5 1 25% Total Vehicles 10 14 4 43%
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street
NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
861 107 Pipers Row North 412 861107412 Berry Street 17 17 0 -1% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 6 6 0 -2% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 1 1 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 0 0 0 0% 0.0 Y Y Y OK
861 107 Pipers Row North 107 861107107 Pipers Row South 73 85 12 -16% 1.3 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 59 71 12 -20% 1.5 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 0 1 1 0% 1.4 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 10 9 -1 11% 0.4 Y Y Y OK
861 420 Pipers Row South 410 861420410 Queen Street 51 54 3 -6% 0.4 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 51 54 3 -6% 0.4 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 0 0 0 0% 0.0 Y Y Y OK
861 420 Pipers Row South 412 861420412 Berry Street 57 57 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 39 39 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 2 2 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 0 0 0 0% 0.0 Y Y Y OK
861 420 Pipers Row South 420 861420420 Pipers Row North 113 135 22 -19% 1.9 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 57 83 26 -45% 3.1 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 4 0 -4 98% 2.7 Y Y Y OK
Total Vehicles 311 347 36 12% Total Vehicles 212 253 41 19% Total Cars 3 4 1 33% Total Vehicles 14 9 -5 -36%
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill
NODE 881 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
881 6 Horseley Fields W 32 881632 Corn Hill 8 7 -1 13% 0.4 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 7 7 0 0% 0.0 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 1 0 -1 100% 1.4 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
881 6 Horseley Fields W 6 88166 Horseley Fields E 470 452 -18 4% 0.9 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 435 413 -22 5% 1.1 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 36 39 4 -10% 0.6 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
881 34 Corn Hill 6 881346 Horseley Fields E 20 35 15 -73% 2.8 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 20 29 9 -45% 1.8 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 0 6 6 0% 3.4 Y Y Y OK
881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 498 493 -5 -1% Total Vehicles 462 448 -13 -3% Total Cars 37 39 3 7% Total Vehicles 0 6 6 #DIV/0!
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross
NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
882 18 Middle Cross 82 8821882 Horseley Fields E 331 326 -5 2% 0.3 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 290 281 -9 3% 0.5 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 30 27 -3 8% 0.5 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 0 6 6 0% 3.4 Y Y Y OK
882 18 Middle Cross 52 8821852 Horseley Fields W 75 70 -5 7% 0.6 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 75 70 -5 7% 0.6 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
882 19 Horseley Fields E 19 8821919 Middle Cross 813 810 -3 0% 0.1 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 758 755 -3 0% 0.1 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 43 44 1 -2% 0.2 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 1 0 -1 100% 1.6 Y Y Y OK
882 12 Horseley Fields E 52 8821252 Horseley Fields W 37 37 0 -1% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 37 37 0 -1% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
882 9 Horseley Fields W 19 882919 Middle Cross 75 35 -40 53% 5.3 N Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 75 30 -46 61% 6.3 N Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 0 6 6 0% 3.4 Y Y Y OK
882 6 Horseley Fields W 82 882682 Horseley Fields E 415 453 38 -9% 1.8 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 380 413 33 -9% 1.7 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 35 39 4 -12% 0.7 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 1746 1730 -16 -1% Total Vehicles 1614 1586 -29 -2% Total Cars 107 110 3 3% Total Vehicles 1 12 10 820%
5 83.33 5 83.33 6 100.00 6 100.00
1 1 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
Validation Summary Validation Summary Validation Summary Validation Summary
AM peak All Vehicles Flow 0830-0930 AM peak All Vehicles Flow 0830-0930 AM peak All Vehicles Flow 0830-0930 Flow 0830-0930 AM peak All Vehicles Flow 0830-0930 Flow 0830-0930
102 98.08 102 98.08 104 100.00 103 99.04
2 2 0 1
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 0830-0930 DifferenceFlow 0830-0930 Difference GEH Individua
l Flows
Site Flow 0830-0930Site Flow 0830-0930 Difference GEH Individual
Flows
Site
60
AECOM WCCE – VISSIM Study: Local Model Validation Report 53
PM – 1630-1730
Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park
NODE 15 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From To Observed Modelled Value % Value <5 <7.5 <10
15 5 Car Park 704 Railway Drive West 56 57 1 -2% 0.2 Y Y Y OK 15 5 Car Park 704 Railway Drive West 56 57 1 -2% 0.2 Y Y Y OK 15 5 Car Park 704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 5 Car Park 704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK
15 704 Railway Drive East 704 Railway Drive West 238 242 5 -2% 0.3 Y Y Y OK 15 704 Railway Drive East 704 Railway Drive West 193 193 1 0% 0.1 Y Y Y OK 15 704 Railway Drive East 704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 704 Railway Drive East 704 Railway Drive West 45 49 4 -9% 0.6 Y Y Y OK
15 702 Railway Drive West 3 Car park 41 46 5 -12% 0.7 Y Y Y OK 15 702 Railway Drive West 3 Car park 14 14 0 1% 0.0 Y Y Y OK 15 702 Railway Drive West 3 Car park 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 3 Car park 27 32 5 -19% 0.9 Y Y Y OK
15 702 Railway Drive West 702 Railway Drive East 224 226 1 -1% 0.1 Y Y Y OK 15 702 Railway Drive West 702 Railway Drive East 210 211 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 Railway Drive East 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 Railway Drive East 14 15 1 -8% 0.3 Y Y Y OK
Total Vehicles 559 572 13 2% Total Vehicles 473 475 2 0% Total Vehicles 0 0 0 #DIV/0! Total Vehicles 86 96 10 12%
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
Bilston Street/Pipers Row Bilston Road/Pipers Row Bilston Road/Pippers Row Bilston Road/Pippers Row
NODE 837 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From To Observed Modelled Value % Value <5 <7.5 <10
837 172 Bilston Road Tram West 172 Bilston Road Tram East 8 8 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 Bilston Road Tram West 7 7 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 Bilston Road Tram West 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837 1238 Bilston Road East 1238 Bilston Road West 265 267 2 -1% 0.1 Y Y Y OK 837 1238 Bilston Road East 1238 Bilston Road West 262 264 2 -1% 0.1 Y Y Y OK 837 1238 Bilston Road East 1238 Bilston Road West 3 3 0 -7% 0.1 Y Y Y OK 837 1238 Bilston Road East 1238 Bilston Road West 0 0 0 0% 0.0 Y Y Y OK
837 408 Bilston Road East 1696 Pipers Road 124 149 25 -20% 2.1 Y Y Y OK 837 408 Bilston Road East 1696 Pipers Road 110 126 16 -15% 1.5 Y Y Y OK 837 408 Bilston Road East 1696 Pipers Road 0 1 1 0% 1.3 Y Y Y OK 837 408 Bilston Road East 1696 Pipers Road 5 12 7 -148% 2.5 Y Y Y OK
837 14 Pipers Road 1237 Bilston Road East 198 205 7 -3% 0.5 Y Y Y OK 837 14 Pipers Road 1237 Bilston Road East 181 184 3 -2% 0.2 Y Y Y OK 837 14 Pipers Road 1237 Bilston Road East 1 1 0 0% 0.0 Y Y Y OK 837 14 Pipers Road 1237 Bilston Road East 5 9 4 -74% 1.4 Y Y Y OK
837 1237 Bilston Road West 1237 Bilston Road East 582 582 1 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1237 Bilston Road East 518 520 2 0% 0.1 Y Y Y OK 837 1237 Bilston Road West 1237 Bilston Road East 3 3 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1237 Bilston Road East 1 0 -1 100% 1.4 Y Y Y OK
837 1237 Bilston Road West 1696 Pipers Road 56 51 -5 9% 0.7 Y Y Y OK 837 1237 Bilston Road West 1696 Pipers Road 46 43 -3 7% 0.5 Y Y Y OK 837 1237 Bilston Road West 1696 Pipers Road 1 0 -1 100% 1.4 Y Y Y OK 837 1237 Bilston Road West 1696 Pipers Road 2 1 -1 50% 0.8 Y Y Y OK
Total Vehicles 1240 1268 29 2% Total Vehicles 1117 1136 19 2% Total Vehicles 8 8 0 1% Total Vehicles 13 22 9 70%
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout
NODE 841 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From To Observed Modelled Value % Value <5 <7.5 <10
841 169 Tram East 169 Tram West 7 7 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 Tram West 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 1238 Bilston St (Left) 76 76 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 1238 Bilston St (Left) 76 76 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 408 Bilston St (Right) 33 32 -1 3% 0.2 Y Y Y OK 841 73 Ring Road South 408 Bilston St (Right) 32 31 -1 3% 0.1 Y Y Y OK 841 73 Ring Road South 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 408 Bilston St (Right) 1 1 0 10% 0.1 Y Y Y OK
841 73 Ring Road South 18 Middle Cross 240 243 4 -2% 0.2 Y Y Y OK 841 73 Ring Road South 18 Middle Cross 237 240 4 -2% 0.2 Y Y Y OK 841 73 Ring Road South 18 Middle Cross 3 3 0 -1% 0.0 Y Y Y OK 841 73 Ring Road South 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 20 Bilston Road 172 171 -1 1% 0.1 Y Y Y OK 841 73 Ring Road South 20 Bilston Road 168 167 -2 1% 0.1 Y Y Y OK 841 73 Ring Road South 20 Bilston Road 4 4 0 -4% 0.1 Y Y Y OK 841 73 Ring Road South 20 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 7 Ring Road North bus 3 3 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 17 Ring Road North 608 601 -6 1% 0.3 Y Y Y OK 841 73 Ring Road South 17 Ring Road North 600 593 -7 1% 0.3 Y Y Y OK 841 73 Ring Road South 17 Ring Road North 8 8 0 -2% 0.1 Y Y Y OK 841 73 Ring Road South 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 1238 Bilston St (Left) 77 78 1 -1% 0.1 Y Y Y OK 841 21 Bilston Road 1238 Bilston St (Left) 77 78 1 -1% 0.1 Y Y Y OK 841 21 Bilston Road 1238 Bilston St (Left) 0 0 0 0% 0.4 Y Y Y OK 841 21 Bilston Road 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 408 Bilston St (Right) 39 38 -2 4% 0.3 Y Y Y OK 841 21 Bilston Road 408 Bilston St (Right) 32 32 -1 2% 0.1 Y Y Y OK 841 21 Bilston Road 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 408 Bilston St (Right) 2 1 -1 50% 0.8 Y Y Y OK
841 21 Bilston Road 18 Middle Cross 82 79 -3 4% 0.3 Y Y Y OK 841 21 Bilston Road 18 Middle Cross 79 76 -3 4% 0.4 Y Y Y OK 841 21 Bilston Road 18 Middle Cross 3 3 0 -1% 0.0 Y Y Y OK 841 21 Bilston Road 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 20 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 7 Ring Road North bus 10 10 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 17 Ring Road North 536 534 -2 0% 0.1 Y Y Y OK 841 21 Bilston Road 17 Ring Road North 529 527 -2 0% 0.1 Y Y Y OK 841 21 Bilston Road 17 Ring Road North 7 7 0 5% 0.1 Y Y Y OK 841 21 Bilston Road 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 22 Ring Road South 302 298 -4 1% 0.2 Y Y Y OK 841 21 Bilston Road 22 Ring Road South 299 296 -3 1% 0.2 Y Y Y OK 841 21 Bilston Road 22 Ring Road South 3 3 0 2% 0.0 Y Y Y OK 841 21 Bilston Road 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 171 Tram West 171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 172 Tram West 172 Tram East 8 8 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 18 Middle Cross 143 154 11 -7% 0.9 Y Y Y OK 841 1237 Bilston St 18 Middle Cross 129 132 4 -3% 0.3 Y Y Y OK 841 1237 Bilston St 18 Middle Cross 1 1 0 -1% 0.0 Y Y Y OK 841 1237 Bilston St 18 Middle Cross 2 9 7 -467% 3.1 Y Y Y OK
841 1237 Bilston St 20 Bilston Road 139 133 -6 4% 0.5 Y Y Y OK 841 1237 Bilston St 20 Bilston Road 120 116 -4 4% 0.4 Y Y Y OK 841 1237 Bilston St 20 Bilston Road 2 2 0 -1% 0.0 Y Y Y OK 841 1237 Bilston St 20 Bilston Road 2 0 -1 93% 1.6 Y Y Y OK
841 1237 Bilston St 7 Ring Road North bus 42 42 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 17 Ring Road North 292 296 4 -1% 0.2 Y Y Y OK 841 1237 Bilston St 17 Ring Road North 289 295 5 -2% 0.3 Y Y Y OK 841 1237 Bilston St 17 Ring Road North 1 1 0 -1% 0.0 Y Y Y OK 841 1237 Bilston St 17 Ring Road North 2 0 -1 93% 1.6 Y Y Y OK
841 1237 Bilston St 22 Ring Road South 164 156 -8 5% 0.6 Y Y Y OK 841 1237 Bilston St 22 Ring Road South 161 154 -7 4% 0.5 Y Y Y OK 841 1237 Bilston St 22 Ring Road South 0 0 0 0% 0.4 Y Y Y OK 841 1237 Bilston St 22 Ring Road South 2 0 -2 100% 1.7 Y Y Y OK
841 85 Ring Road North 1238 Bilston St (Left) 64 67 2 -4% 0.3 Y Y Y OK 841 85 Ring Road North 1238 Bilston St (Left) 63 66 2 -4% 0.3 Y Y Y OK 841 85 Ring Road North 1238 Bilston St (Left) 1 1 0 -1% 0.0 Y Y Y OK 841 85 Ring Road North 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 408 Bilston St (Right) 28 39 11 -41% 2.0 Y Y Y OK 841 85 Ring Road North 408 Bilston St (Right) 27 37 10 -39% 1.8 Y Y Y OK 841 85 Ring Road North 408 Bilston St (Right) 0 1 1 0% 1.4 Y Y Y OK 841 85 Ring Road North 408 Bilston St (Right) 1 1 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 18 Middle Cross 25 0 -25 100% 7.0 N Y Y OK 841 85 Ring Road North 18 Middle Cross 23 0 -23 100% 6.7 N Y Y OK 841 85 Ring Road North 18 Middle Cross 2 0 -2 100% 2.0 Y Y Y OK 841 85 Ring Road North 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 20 Bilston Road 440 442 3 -1% 0.1 Y Y Y OK 841 85 Ring Road North 20 Bilston Road 427 429 3 -1% 0.1 Y Y Y OK 841 85 Ring Road North 20 Bilston Road 13 13 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 20 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 22 Ring Road South 785 810 25 -3% 0.9 Y Y Y OK 841 85 Ring Road North 22 Ring Road South 767 791 24 -3% 0.9 Y Y Y OK 841 85 Ring Road North 22 Ring Road South 18 19 1 -5% 0.2 Y Y Y OK 841 85 Ring Road North 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 1238 Bilston St (Left) 48 46 -2 3% 0.2 Y Y Y OK 841 28 Middle Cross 1238 Bilston St (Left) 46 44 -2 4% 0.3 Y Y Y OK 841 28 Middle Cross 1238 Bilston St (Left) 2 2 0 -6% 0.1 Y Y Y OK 841 28 Middle Cross 1238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 408 Bilston St (Right) 24 41 16 -68% 2.9 Y Y Y OK 841 28 Middle Cross 408 Bilston St (Right) 19 27 8 -41% 1.6 Y Y Y OK 841 28 Middle Cross 408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 408 Bilston St (Right) 1 10 9 -860% 3.7 Y Y Y OK
841 28 Middle Cross 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 20 Bilston Road 30 30 0 -1% 0.0 Y Y Y OK 841 28 Middle Cross 20 Bilston Road 29 29 0 -1% 0.0 Y Y Y OK 841 28 Middle Cross 20 Bilston Road 1 1 0 -1% 0.0 Y Y Y OK 841 28 Middle Cross 20 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 7 Ring Road North bus 8 8 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 17 Ring Road North 396 381 -15 4% 0.8 Y Y Y OK 841 28 Middle Cross 17 Ring Road North 391 375 -17 4% 0.8 Y Y Y OK 841 28 Middle Cross 17 Ring Road North 5 6 1 -29% 0.6 Y Y Y OK 841 28 Middle Cross 17 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 22 Ring Road South 497 475 -22 4% 1.0 Y Y Y OK 841 28 Middle Cross 22 Ring Road South 492 470 -22 4% 1.0 Y Y Y OK 841 28 Middle Cross 22 Ring Road South 5 5 0 -1% 0.0 Y Y Y OK 841 28 Middle Cross 22 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 110 125 15 14% Total Vehicles 94 100 6 7% Total Vehicles 3 3 0 4% Total Vehicles 1 10 9 860%
37 97.37 37 97.37 38 100.00 38 100.00
1 1 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive
NODE 842 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From To Observed Modelled Value % Value <5 <7.5 <10
842 40 Fryer Street 33 Lichfield Street 14 14 0 1% 0.0 Y Y Y OK 842 40 Fryer Street 33 Lichfield Street 13 13 0 1% 0.0 Y Y Y OK 842 40 Fryer Street 33 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 Lichfield Street 1 1 0 0% 0.0 Y Y Y OK
842 40 Fryer Street 702 Railway Drive 181 181 -1 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 Railway Drive 150 149 -1 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 Railway Drive 31 31 0 0% 0.0 Y Y Y OK
842 40 Fryer Street 107 Pipers Row 20 18 -2 11% 0.5 Y Y Y OK 842 40 Fryer Street 107 Pipers Row 17 17 0 1% 0.0 Y Y Y OK 842 40 Fryer Street 107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 107 Pipers Row 3 1 -2 67% 1.4 Y Y Y OK
842 76 Lichfield Street 41 Fryer St 27 38 11 -41% 1.9 Y Y Y OK 842 76 Lichfield Street 41 Fryer St 27 27 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 Fryer St 11 11 0 1% 0.0 Y Y Y OK
842 76 Lichfield Street 702 Railway Drive 66 66 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 Railway Drive 55 55 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 Railway Drive 11 11 0 -1% 0.0 Y Y Y OK
842 76 Lichfield Street 107 Pipers Row 28 25 -3 11% 0.6 Y Y Y OK 842 76 Lichfield Street 107 Pipers Row 15 14 -1 8% 0.3 Y Y Y OK 842 76 Lichfield Street 107 Pipers Row 1 1 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 107 Pipers Row 3 1 -2 63% 1.3 Y Y Y OK
842 704 Railway Drive 33 Lichfield Street 103 103 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 33 Lichfield Street 83 83 -1 1% 0.1 Y Y Y OK 842 704 Railway Drive 33 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 33 Lichfield Street 20 20 0 -1% 0.0 Y Y Y OK
842 704 Railway Drive 41 Fryer St 162 161 -1 1% 0.1 Y Y Y OK 842 704 Railway Drive 41 Fryer St 139 138 -1 1% 0.1 Y Y Y OK 842 704 Railway Drive 41 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 Fryer St 23 23 0 -1% 0.1 Y Y Y OK
842 704 Railway Drive 107 Pipers Row 30 35 5 -17% 0.9 Y Y Y OK 842 704 Railway Drive 107 Pipers Row 28 29 1 -4% 0.2 Y Y Y OK 842 704 Railway Drive 107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 107 Pipers Row 2 6 4 -210% 2.1 Y Y Y OK
842 420 Pipers Row 33 Lichfield Street 76 77 1 -1% 0.1 Y Y Y OK 842 420 Pipers Row 33 Lichfield Street 28 29 1 -3% 0.2 Y Y Y OK 842 420 Pipers Row 33 Lichfield Street 1 1 0 10% 0.1 Y Y Y OK 842 420 Pipers Row 33 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK
842 420 Pipers Row 41 Fryer St 32 32 0 1% 0.1 Y Y Y OK 842 420 Pipers Row 41 Fryer St 28 30 2 -6% 0.3 Y Y Y OK 842 420 Pipers Row 41 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 41 Fryer St 2 0 -2 95% 1.9 Y Y Y OK
842 420 Pipers Row 702 Railway Drive 21 26 5 -22% 1.0 Y Y Y OK 842 420 Pipers Row 702 Railway Drive 21 21 0 2% 0.1 Y Y Y OK 842 420 Pipers Row 702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 702 Railway Drive 0 5 5 0% 3.2 Y Y Y OK
Total Vehicles 760 774 14 2% Total Vehicles 604 603 -1 0% Total Vehicles 2 2 0 -5% Total Vehicles 107 111 4 4%
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street
NODE 859 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From To Observed Modelled Value % Value <5 <7.5 <10
859 30 Court Car Park 87 Pipers Row Car Park 0 0 0 100% 0.6 Y Y Y OK 859 30 Court Car Park 87 Pipers Row Car Park 0 0 0 100% 0.6 Y Y Y OK 859 30 Court Car Park 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 Pipers Row Car Park 0 0 0 100% 0.0 Y Y Y OK
859 30 Court Car Park 413 Tower St 0 2 2 0% 1.9 Y Y Y OK 859 30 Court Car Park 413 Tower St 0 2 2 0% 1.9 Y Y Y OK 859 30 Court Car Park 413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 107 Pipers Row South 23 19 -4 17% 0.9 Y Y Y OK 859 30 Court Car Park 107 Pipers Row South 23 19 -4 17% 0.9 Y Y Y OK 859 30 Court Car Park 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 420 Pipers Row North 4 7 3 -75% 1.3 Y Y Y OK 859 30 Court Car Park 420 Pipers Row North 4 7 3 -75% 1.3 Y Y Y OK 859 30 Court Car Park 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 Pipers Row North 0 0 0 100% 0.0 Y Y Y OK
859 43 Bus Station 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 413 Tower St 12 12 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 107 Pipers Row South 9 9 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 420 Pipers Row North 50 50 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 413 Tower St 1 0 -1 100% 1.6 Y Y Y OK 859 88 Pipers Row Car Park 413 Tower St 1 0 -1 100% 1.6 Y Y Y OK 859 88 Pipers Row Car Park 413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 107 Pipers Row South 14 15 1 -10% 0.3 Y Y Y OK 859 88 Pipers Row Car Park 107 Pipers Row South 14 15 1 -10% 0.3 Y Y Y OK 859 88 Pipers Row Car Park 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 420 Pipers Row North 4 5 1 -25% 0.5 Y Y Y OK 859 88 Pipers Row Car Park 420 Pipers Row North 4 5 1 -25% 0.5 Y Y Y OK 859 88 Pipers Row Car Park 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 36 Court Car Park 0 0 0 100% 0.5 Y Y Y OK 859 416 Tower St 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 36 Court Car Park 0 0 0 100% 0.5 Y Y Y OK
859 416 Tower St 87 Pipers Row Car Park 2 2 0 -16% 0.2 Y Y Y OK 859 416 Tower St 87 Pipers Row Car Park 2 2 0 -16% 0.2 Y Y Y OK 859 416 Tower St 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 107 Pipers Row South 96 96 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 Pipers Row South 96 96 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 420 Pipers Row North 40 40 0 1% 0.0 Y Y Y OK 859 416 Tower St 420 Pipers Row North 39 39 0 1% 0.1 Y Y Y OK 859 416 Tower St 420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 420 Pipers Row North 1 1 0 -14% 0.1 Y Y Y OK
859 1696 Pipers Row South 36 Court Car Park 1 0 -1 100% 1.3 Y Y Y OK 859 1696 Pipers Row South 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 36 Court Car Park 1 0 -1 100% 1.3 Y Y Y OK
859 1696 Pipers Row South 87 Pipers Row Car Park 6 6 0 2% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 Pipers Row Car Park 6 6 0 2% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 413 Tower St 13 15 2 -18% 0.6 Y Y Y OK 859 1696 Pipers Row South 413 Tower St 13 15 2 -18% 0.6 Y Y Y OK 859 1696 Pipers Row South 413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 420 Pipers Row North 162 179 16 -10% 1.2 Y Y Y OK 859 1696 Pipers Row South 420 Pipers Row North 139 148 9 -7% 0.8 Y Y Y OK 859 1696 Pipers Row South 420 Pipers Row North 1 1 0 10% 0.1 Y Y Y OK 859 1696 Pipers Row South 420 Pipers Row North 6 13 7 -119% 2.3 Y Y Y OK
859 107 Pipers Row North 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 413 Tower St 4 3 -1 23% 0.5 Y Y Y OK 859 107 Pipers Row North 413 Tower St 4 3 -1 23% 0.5 Y Y Y OK 859 107 Pipers Row North 413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 107 Pipers Row South 86 65 -21 24% 2.4 Y Y Y OK 859 107 Pipers Row North 107 Pipers Row South 79 54 -25 32% 3.1 Y Y Y OK 859 107 Pipers Row North 107 Pipers Row South 1 1 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 107 Pipers Row South 4 9 5 -118% 1.9 Y Y Y OK
9520 5279
Total Vehicles 527 525 -2 0% Total Vehicles 424 411 -13 -3% Total Vehicles 2 2 0 -5% Total Vehicles 12 23 11 92%
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
PM Peak Traffic Flow Validation - ALL Vehicles PM Peak Traffic Flow Validation - Cars PM Peak Traffic Flow Validation - HGVs (excluding buses) PM Peak Traffic Flow Validation - Taxis
Site Flow 1630-1730 Difference GEH Individual
Flows
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Difference GEH Individua
l Flows
Flow 1630-1730 Difference GEH Individua
l Flows
Site Flow 1630-1730Site Flow 1630-1730 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
61
AECOM WCCE – VISSIM Study: Local Model Validation Report 54
Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street
Node 860 From To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From To Observed Modelled Value % Value <5 <7.5 <10
860 420 Pipers Row South 417 Castle Street 45 55 10 -22% 1.4 Y Y Y OK 860 420 Pipers Row South 417 Castle Street 40 46 6 -14% 0.9 Y Y Y OK 860 420 Pipers Row South 417 Castle Street 0 0 0 0% 0.0 Y Y Y OK 860 420 Pipers Row South 417 Castle Street 5 9 4 -88% 1.6 Y Y Y OK
860 420 Pipers Row South 420 Pipers Row North 215 225 10 -5% 0.7 Y Y Y OK 860 420 Pipers Row South 420 Pipers Row North 146 154 8 -5% 0.6 Y Y Y OK 860 420 Pipers Row South 420 Pipers Row North 1 1 0 10% 0.1 Y Y Y OK 860 420 Pipers Row South 420 Pipers Row North 2 5 3 -150% 1.6 Y Y Y OK
860 107 Pipers Row North 107 Pipers Row South 53 68 15 -28% 1.9 Y Y Y OK 860 107 Pipers Row North 107 Pipers Row South 46 56 10 -23% 1.5 Y Y Y OK 860 107 Pipers Row North 107 Pipers Row South 1 1 0 0% 0.0 Y Y Y OK 860 107 Pipers Row North 107 Pipers Row South 4 8 4 -108% 1.7 Y Y Y OK
Total Vehicles 313 348 35 11% Total Vehicles 232 256 24 10% Total Vehicles 2 2 0 -5% Total Vehicles 11 23 12 106%
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street
NODE 861 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From To Observed Modelled Value % Value <5 <7.5 <10
861 107 Pipers Row North 412 Berry Street 12 10 -2 15% 0.5 Y Y Y OK 861 107 Pipers Row North 412 Berry Street 4 3 -1 20% 0.4 Y Y Y OK 861 107 Pipers Row North 412 Berry Street 0 0 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 412 Berry Street 1 0 -1 100% 1.4 Y Y Y OK
861 107 Pipers Row North 107 Pipers Row South 62 68 6 -9% 0.7 Y Y Y OK 861 107 Pipers Row North 107 Pipers Row South 52 56 4 -8% 0.6 Y Y Y OK 861 107 Pipers Row North 107 Pipers Row South 1 1 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 107 Pipers Row South 7 8 1 -19% 0.5 Y Y Y OK
861 420 Pipers Row South 410 Queen Street 28 33 5 -19% 0.9 Y Y Y OK 861 420 Pipers Row South 410 Queen Street 28 33 5 -19% 0.9 Y Y Y OK 861 420 Pipers Row South 410 Queen Street 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 410 Queen Street 0 0 0 0% 0.0 Y Y Y OK
861 420 Pipers Row South 412 Berry Street 58 59 1 -2% 0.1 Y Y Y OK 861 420 Pipers Row South 412 Berry Street 41 42 1 -2% 0.2 Y Y Y OK 861 420 Pipers Row South 412 Berry Street 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 412 Berry Street 0 0 0 0% 0.0 Y Y Y OK
861 420 Pipers Row South 420 Pipers Row North 129 134 5 -4% 0.4 Y Y Y OK 861 420 Pipers Row South 420 Pipers Row North 77 79 2 -3% 0.2 Y Y Y OK 861 420 Pipers Row South 420 Pipers Row North 1 1 0 10% 0.1 Y Y Y OK 861 420 Pipers Row South 420 Pipers Row North 2 5 3 -155% 1.6 Y Y Y OK
Total Vehicles 289 304 15 5% Total Vehicles 202 214 12 6% Total Vehicles 2 2 0 -5% Total Vehicles 10 13 3 34%
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill
NODE 881 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10
881 10007 Union Street 6 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
881 6 Horseley Fields W 32 Corn Hill 16 16 0 -2% 0.1 Y Y Y OK 881 6 Horseley Fields W 32 Corn Hill 16 16 0 -2% 0.1 Y Y Y OK 881 6 Horseley Fields W 32 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 6 Horseley Fields W 32 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
881 6 Horseley Fields W 6 Horseley Fields E 528 500 -28 5% 1.2 Y Y Y OK 881 6 Horseley Fields W 6 Horseley Fields E 505 475 -30 6% 1.3 Y Y Y OK 881 6 Horseley Fields W 6 Horseley Fields E 23 25 2 -10% 0.5 Y Y Y OK 881 6 Horseley Fields W 6 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
881 34 Corn Hill 6 Horseley Fields E 25 45 20 -80% 3.4 Y Y Y OK 881 34 Corn Hill 6 Horseley Fields E 25 36 11 -45% 2.0 Y Y Y OK 881 34 Corn Hill 6 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 34 Corn Hill 6 Horseley Fields E 0 9 9 0% 4.1 Y Y Y OK
881 54 Horseley Fields E 32 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 569 561 -7 -1% Total Vehicles 546 528 -18 -3% Total Vehicles 23 25 2 10% Total Vehicles 0 9 9 #DIV/0!
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross
NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From To Observed Modelled Value % Value <5 <7.5 <10
882 18 Middle Cross 82 Horseley Fields E 415 411 -4 1% 0.2 Y Y Y OK 882 18 Middle Cross 82 Horseley Fields E 392 383 -9 2% 0.5 Y Y Y OK 882 18 Middle Cross 82 Horseley Fields E 9 7 -2 20% 0.6 Y Y Y OK 882 18 Middle Cross 82 Horseley Fields E 2 9 7 -467% 3.1 Y Y Y OK
882 18 Middle Cross 52 Horseley Fields W 75 67 -8 11% 1.0 Y Y Y OK 882 18 Middle Cross 52 Horseley Fields W 75 67 -8 11% 1.0 Y Y Y OK 882 18 Middle Cross 52 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 18 Middle Cross 52 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
882 19 Horseley Fields E 19 Middle Cross 928 928 0 0% 0.0 Y Y Y OK 882 19 Horseley Fields E 19 Middle Cross 902 902 0 0% 0.0 Y Y Y OK 882 19 Horseley Fields E 19 Middle Cross 13 13 1 -4% 0.1 Y Y Y OK 882 19 Horseley Fields E 19 Middle Cross 1 1 0 -10% 0.1 Y Y Y OK
882 12 Horseley Fields E 52 Horseley Fields W 37 36 -1 2% 0.1 Y Y Y OK 882 12 Horseley Fields E 52 Horseley Fields W 37 36 -1 2% 0.1 Y Y Y OK 882 12 Horseley Fields E 52 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
882 9 Horseley Fields W 19 Middle Cross 75 44 -31 42% 4.0 Y Y Y OK 882 9 Horseley Fields W 19 Middle Cross 75 35 -40 53% 5.3 N Y Y OK 882 9 Horseley Fields W 19 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 882 9 Horseley Fields W 19 Middle Cross 0 9 9 0% 4.1 Y Y Y OK
882 6 Horseley Fields W 82 Horseley Fields E 478 500 22 -5% 1.0 Y Y Y OK 882 6 Horseley Fields W 82 Horseley Fields E 455 476 21 -5% 1.0 Y Y Y OK 882 6 Horseley Fields W 82 Horseley Fields E 23 25 2 -8% 0.4 Y Y Y OK 882 6 Horseley Fields W 82 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 2007 1986 -21 -1% Total Vehicles 1936 1899 -37 -2% Total Vehicles 45 45 1 1% Total Vehicles 3 18 16 624%
6 100.00 5 83.33 6 100.00 6 100.00
0 1 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
Validation Summary Validation Summary Validation Summary Validation Summary
PM peak All Vehicles Flow 1630-1730 PM peak Cars Flow 1630-1730 PM peak HGVs Flow 1630-1730 Flow 1630-1730 PM peak Taxis Flow 1630-1730 Flow 1630-1730
103 99.04 102 98.08 104 100.00 104 100.00
1 2 0 0
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1630-1730Site Flow 1630-1730 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1630-1730 DifferenceFlow 1630-1730 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
62
AECOM WCCE – VISSIM Study: Local Model Validation Report 55
PM – 1730-1830
Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park Railway Drive/Car Park
NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 15 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
15 5 Car Park 704 155704 Railway Drive West 84 84 -1 1% 0.1 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 84 84 -1 1% 0.1 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 5 Car Park 704 155704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK
15 704 Railway Drive East 704 15704704 Railway Drive West 280 290 10 -4% 0.6 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 235 240 5 -2% 0.3 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 0 0 0 0% 0.0 Y Y Y OK 15 704 Railway Drive East 704 15704704 Railway Drive West 45 50 5 -12% 0.8 Y Y Y OK
15 702 Railway Drive West 3 157023 Car park 66 70 4 -6% 0.5 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 27 27 0 2% 0.1 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 0 0 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 3 157023 Car park 39 44 5 -12% 0.7 Y Y Y OK
15 702 Railway Drive West 702 15702702 Railway Drive East 256 264 7 -3% 0.4 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 246 252 6 -2% 0.4 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 1 1 0 0% 0.0 Y Y Y OK 15 702 Railway Drive West 702 15702702 Railway Drive East 9 10 1 -12% 0.4 Y Y Y OK
Total Vehicles 687 708 21 3% Total Vehicles 593 603 10 2% Total Vehicles 1 1 0 0% Total Vehicles 93 104 11 12%
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
4 100.00 4 100.00 4 100.00 4 100.00
0 0 0 0
Bilston Street/Pipers Row Bilston Road/Pipers Row Bilston Road/Pippers Row Bilston Road/Pippers Row
NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 837 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 8 7 -1 13% 0.4 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK 837 172 Bilston Road Tram West 172 837172172 Bilston Road Tram East 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169 Bilston Road Tram West 7 8 1 -14% 0.4 Y Y Y OK
837169 Bilston Road Tram East 169 837169169 Bilston Road Tram West 0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837169 Bilston Road Tram East 169 837169169
Bilston Road Tram
West0 0 0 0% 0.0 Y Y Y OK
837 1238 Bilston Road East 1238 83712381238 Bilston Road West 251 250 -1 0% 0.1 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 245 244 -1 0% 0.1 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 6 6 0 -2% 0.0 Y Y Y OK 837 1238 Bilston Road East 1238 83712381238 Bilston Road West 0 0 0 0% 0.0 Y Y Y OK
837 408 Bilston Road East 1696 8374081696 Pipers Road 137 196 59 -43% 4.6 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 117 170 53 -45% 4.4 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 0 2 2 0% 2.0 Y Y Y OK 837 408 Bilston Road East 1696 8374081696 Pipers Road 11 15 4 -36% 1.1 Y Y Y OK
837 14 Pipers Road 1237 837141237 Bilston Road East 170 206 36 -21% 2.7 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 158 186 28 -18% 2.1 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 0 1 1 0% 1.4 Y Y Y OK 837 14 Pipers Road 1237 837141237 Bilston Road East 2 10 8 -385% 3.2 Y Y Y OK
837 1237 Bilston Road West 1237 83712371237 Bilston Road East 506 509 3 -1% 0.2 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 444 447 3 -1% 0.1 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 6 6 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1237 83712371237 Bilston Road East 3 4 1 -30% 0.5 Y Y Y OK
837 1237 Bilston Road West 1696 83712371696 Pipers Road 56 53 -3 6% 0.4 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 46 43 -3 7% 0.5 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 0 0 0 0% 0.0 Y Y Y OK 837 1237 Bilston Road West 1696 83712371696 Pipers Road 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 1135 1230 95 8% Total Vehicles 1010 1089 79 8% Total Vehicles 12 15 3 27% Total Vehicles 16 29 13 79%
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
7 100.00 7 100.00 7 100.00 7 100.00
0 0 0 0
Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout Bilston Road Roundabout
NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 841 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
841 169 Tram East 169 841169169 Tram West 7 8 1 -14% 0.4 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK 841 169 Tram East 169 841169169 Tram West 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 1238 841731238 Bilston St (Left) 74 75 1 -1% 0.1 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 73 74 1 -1% 0.1 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 1 1 0 -1% 0.0 Y Y Y OK 841 73 Ring Road South 1238 841731238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 408 84173408 Bilston St (Right) 38 36 -1 4% 0.2 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 35 34 -1 2% 0.1 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 408 84173408 Bilston St (Right) 3 2 -1 27% 0.5 Y Y Y OK
841 73 Ring Road South 18 8417318 Middle Cross 197 198 1 -1% 0.1 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 189 190 1 -1% 0.1 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 8 8 0 -1% 0.0 Y Y Y OK 841 73 Ring Road South 18 8417318 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 20 8417320 Bilston Road 176 177 1 0% 0.1 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 175 176 1 0% 0.0 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 1 1 0 -21% 0.2 Y Y Y OK 841 73 Ring Road South 20 8417320 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 7 841737 Ring Road North bus 1 1 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 7 841737 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 17 8417317 Ring Road North 552 557 4 -1% 0.2 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 549 554 4 -1% 0.2 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 3 3 0 -1% 0.0 Y Y Y OK 841 73 Ring Road South 17 8417317 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 73 Ring Road South 22 8417322 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 1238 841211238 Bilston St (Left) 72 72 -1 1% 0.1 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 72 72 -1 1% 0.1 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 1238 841211238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 408 84121408 Bilston St (Right) 43 42 -2 4% 0.2 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 35 34 -1 2% 0.1 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 408 84121408 Bilston St (Right) 3 2 -1 27% 0.5 Y Y Y OK
841 21 Bilston Road 18 8412118 Middle Cross 71 72 1 -1% 0.1 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 70 71 1 -1% 0.1 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 1 1 0 -11% 0.1 Y Y Y OK 841 21 Bilston Road 18 8412118 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 20 8412120 Bilston Road East 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 7 841217 Ring Road North bus 11 11 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 7 841217 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 17 8412117 Ring Road North 545 544 -1 0% 0.0 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 538 536 -1 0% 0.1 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 7 7 0 -4% 0.1 Y Y Y OK 841 21 Bilston Road 17 8412117 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 21 Bilston Road 22 8412122 Ring Road South 309 309 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 308 308 0 0% 0.0 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 1 1 0 -11% 0.1 Y Y Y OK 841 21 Bilston Road 22 8412122 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 171 Tram West 171 841171171 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 172 Tram West 172 841172172 Tram East 8 7 -1 13% 0.4 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK 841 172 Tram West 172 841172172 Tram East 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 1238 84112371238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK U turn 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 408 8411237408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 18 841123718 Middle Cross 106 123 17 -16% 1.6 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 95 105 9 -10% 0.9 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 3 3 0 2% 0.0 Y Y Y OK 841 1237 Bilston St 18 841123718 Middle Cross 0 8 8 0% 3.9 Y Y Y OK
841 1237 Bilston St 20 841123720 Bilston Road 129 124 -5 4% 0.5 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 113 108 -5 5% 0.5 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 1 1 0 -1% 0.0 Y Y Y OK 841 1237 Bilston St 20 841123720 Bilston Road 3 3 0 -16% 0.2 Y Y Y OK
841 1237 Bilston St 7 84112377 Ring Road North bus 42 42 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 7 84112377 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 17 841123717 Ring Road North 247 283 36 -15% 2.2 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 245 280 35 -14% 2.2 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 2 3 1 -52% 0.6 Y Y Y OK 841 1237 Bilston St 17 841123717 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 1237 Bilston St 22 841123722 Ring Road South 152 148 -4 3% 0.3 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 149 144 -5 3% 0.4 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 0 0 0 0% 0.0 Y Y Y OK 841 1237 Bilston St 22 841123722 Ring Road South 3 3 0 -16% 0.2 Y Y Y OK
841 85 Ring Road North 1238 841851238 Bilston St (Left) 48 51 3 -7% 0.5 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 44 47 3 -8% 0.5 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 4 4 0 -1% 0.0 Y Y Y OK 841 85 Ring Road North 1238 841851238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 408 84185408 Bilston St (Right) 24 68 44 -185% 6.5 N Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 21 65 44 -208% 6.7 N Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 0 2 2 0% 2.0 Y Y Y OK 841 85 Ring Road North 408 84185408 Bilston St (Right) 3 1 -2 60% 1.2 Y Y Y OK
841 85 Ring Road North 18 8418518 Middle Cross 13 0 -13 100% 5.1 N Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 13 0 -13 100% 5.1 N Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 18 8418518 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 20 8418520 Bilston Road 398 409 11 -3% 0.5 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 392 403 11 -3% 0.5 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 6 6 0 -6% 0.1 Y Y Y OK 841 85 Ring Road North 20 8418520 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 7 841857 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK 841 85 Ring Road North 17 8418517 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 85 Ring Road North 22 8418522 Ring Road South 786 818 32 -4% 1.1 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 779 811 32 -4% 1.1 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 7 7 0 -7% 0.2 Y Y Y OK 841 85 Ring Road North 22 8418522 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 1238 841281238 Bilston St (Left) 55 53 -3 5% 0.4 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 54 51 -3 5% 0.4 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 1 1 0 -11% 0.1 Y Y Y OK 841 28 Middle Cross 1238 841281238 Bilston St (Left) 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 408 84128408 Bilston St (Right) 32 51 19 -60% 2.9 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 26 38 12 -45% 2.1 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 408 84128408 Bilston St (Right) 3 10 7 -260% 2.8 Y Y Y OK
841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 18 8412818 Middle Cross 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 20 8412820 Bilston Road 22 21 0 2% 0.1 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 21 20 0 2% 0.1 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 1 1 0 -1% 0.0 Y Y Y OK 841 28 Middle Cross 20 8412820 Bilston Road 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 7 841287 Ring Road North bus 8 8 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK 841 28 Middle Cross 7 841287 Ring Road North bus 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 17 8412817 Ring Road North 364 344 -20 6% 1.1 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 358 338 -20 6% 1.1 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 6 6 0 2% 0.1 Y Y Y OK 841 28 Middle Cross 17 8412817 Ring Road North 0 0 0 0% 0.0 Y Y Y OK
841 28 Middle Cross 22 8412822 Ring Road South 445 422 -22 5% 1.1 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 442 419 -22 5% 1.1 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 3 3 0 -4% 0.1 Y Y Y OK 841 28 Middle Cross 22 8412822 Ring Road South 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 117 132 16 13% Total Vehicles 101 109 8 8% Total Vehicles 2 2 0 6% Total Vehicles 3 10 7 260%
36 94.74 36 94.74 38 100.00 38 100.00
2 2 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
38 100.00 38 100.00 38 100.00 38 100.00
0 0 0 0
Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive Pipers Road/Railway Drive
NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 842 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
842 40 Fryer Street 33 8424033 Lichfield Street 14 14 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 13 13 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 33 8424033 Lichfield Street 1 1 0 0% 0.0 Y Y Y OK
842 40 Fryer Street 702 84240702 Railway Drive 209 211 2 -1% 0.1 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 177 178 1 -1% 0.1 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 702 84240702 Railway Drive 32 33 1 -2% 0.1 Y Y Y OK
842 40 Fryer Street 107 84240107 Pipers Row 17 15 -2 12% 0.5 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 15 14 -1 7% 0.3 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 40 Fryer Street 107 84240107 Pipers Row 1 0 -1 100% 1.4 Y Y Y OK
842 76 Lichfield Street 41 8427641 Fryer St 31 31 0 1% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 24 24 0 1% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 41 8427641 Fryer St 7 7 0 0% 0.0 Y Y Y OK
842 76 Lichfield Street 702 84276702 Railway Drive 70 68 -2 2% 0.2 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 52 52 0 0% 0.0 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 1 0 -1 100% 1.4 Y Y Y OK 842 76 Lichfield Street 702 84276702 Railway Drive 17 16 -1 4% 0.2 Y Y Y OK
842 76 Lichfield Street 107 84276107 Pipers Row 41 44 3 -7% 0.5 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 29 30 1 -3% 0.2 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 0 1 1 0% 1.4 Y Y Y OK 842 76 Lichfield Street 107 84276107 Pipers Row 4 5 1 -25% 0.5 Y Y Y OK
842 704 Railway Drive 33 84270433 Lichfield Street 129 126 -3 3% 0.3 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 98 95 -3 3% 0.3 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 1 0 -1 100% 1.4 Y Y Y OK 842 704 Railway Drive 33 84270433 Lichfield Street 30 31 1 -3% 0.1 Y Y Y OK
842 704 Railway Drive 41 84270441 Fryer St 205 199 7 3% 0.4 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 192 186 -6 3% 0.4 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 41 84270441 Fryer St 13 13 1 -6% 0.2 Y Y Y OK
842 704 Railway Drive 107 842704107 Pipers Row 39 48 11 -22% 1.3 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 37 42 5 -13% 0.7 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 0 0 0 0% 0.0 Y Y Y OK 842 704 Railway Drive 107 842704107 Pipers Row 2 6 4 -200% 2.0 Y Y Y OK
842 420 Pipers Row 33 84242033 Lichfield Street 88 90 50 -2% 0.2 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 40 42 2 -5% 0.3 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 0 1 1 0% 1.4 Y Y Y OK 842 420 Pipers Row 33 84242033 Lichfield Street 1 0 -1 100% 1.4 Y Y Y OK
842 420 Pipers Row 41 84242041 Fryer St 36 38 8 -6% 0.4 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 30 33 3 -11% 0.6 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 0 0 0 0% 0.0 Y Y Y OK 842 420 Pipers Row 41 84242041 Fryer St 4 3 -1 25% 0.5 Y Y Y OK
842 420 Pipers Row 702 842420702 Railway Drive 31 56 25 -79% 3.7 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 31 50 19 -60% 2.9 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 0 1 1 0% 1.4 Y Y Y OK 842 420 Pipers Row 702 842420702 Railway Drive 0 5 5 0% 3.2 Y Y Y OK
Total Vehicles 910 940 98 11% Total Vehicles 738 758 20 3% Total Vehicles 2 3 1 50% Total Vehicles 112 121 9 8%
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
12 100.00 12 100.00 12 100.00 12 100.00
0 0 0 0
Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street Pipers Row/Tower Street
NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 859 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 87 8593087 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.4 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.4 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 413 85930413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 107 85930107 Pipers Row South 12 12 0 1% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 12 12 0 1% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 107 85930107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 30 Court Car Park 420 85930420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 87 8594387 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 413 85943413 Tower St 10 10 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 413 85943413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 107 85943107 Pipers Row South 9 9 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 107 85943107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 43 Bus Station 420 85943420 Pipers Row North 47 47 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 43 Bus Station 420 85943420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 36 8598836 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 100% 0.9 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 100% 0.9 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 413 85988413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 107 85988107 Pipers Row South 7 16 9 -141% 2.8 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 7 16 9 -141% 2.8 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 107 85988107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 88 Pipers Row Car Park 420 85988420 Pipers Row North 9 0 -9 100% 4.2 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 9 0 -9 100% 4.2 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 88 Pipers Row Car Park 420 85988420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 36 85941636 Court Car Park 0 0 0 100% 0.8 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 100% 0.8 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 36 85941636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 87 85941687 Pipers Row Car Park 1 1 0 31% 0.4 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 1 1 0 31% 0.4 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 87 85941687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 107 859416107 Pipers Row South 86 86 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 86 86 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 107 859416107 Pipers Row South 0 0 0 0% 0.0 Y Y Y OK
859 416 Tower St 420 859416420 Pipers Row North 60 61 1 -2% 0.2 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 59 60 1 -2% 0.2 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 0 0 0 0% 0.0 Y Y Y OK 859 416 Tower St 420 859416420 Pipers Row North 1 1 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 36 859169636 Court Car Park 1 0 -1 100% 1.2 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 1 0 -1 100% 1.2 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 36 859169636 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 4 5 1 -27% 0.5 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 4 5 1 -27% 0.5 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 87 859169687 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 413 8591696413 Tower St 15 15 0 -2% 0.1 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 15 15 0 -2% 0.1 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 1696 Pipers Row South 413 8591696413 Tower St 0 0 0 0% 0.0 Y Y Y OK
859 1696 Pipers Row South 420 8591696420 Pipers Row North 174 229 55 -32% 3.9 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 144 193 49 -34% 3.8 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 0 2 2 0% 2.0 Y Y Y OK 859 1696 Pipers Row South 420 8591696420 Pipers Row North 11 15 4 -36% 1.1 Y Y Y OK
859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 36 85910736 Court Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 87 85910787 Pipers Row Car Park 1 0 -1 100% 1.4 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 1 0 -1 100% 1.4 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 87 85910787 Pipers Row Car Park 0 0 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 413 859107413 Tower St 4 4 0 -2% 0.0 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 3 3 0 -2% 0.0 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 0 0 0 0% 0.0 Y Y Y OK 859 107 Pipers Row North 413 859107413 Tower St 1 1 0 0% 0.0 Y Y Y OK
859 107 Pipers Row North 107 859107107 Pipers Row South 75 84 9 -13% 1.1 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 71 73 2 -2% 0.2 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 0 1 1 0% 1.4 Y Y Y OK 859 107 Pipers Row North 107 859107107 Pipers Row South 3 10 7 -230% 2.7 Y Y Y OK
9520 5279
Total Vehicles 515 580 65 13% Total Vehicles 413 464 51 12% Total Vehicles 0 3 3 #DIV/0! Total Vehicles 16 27 11 68%
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
24 100.00 24 100.00 24 100.00 24 100.00
0 0 0 0
PM Peak Traffic Flow Validation - ALL Vehicles PM Peak Traffic Flow Validation - Cars PM Peak Traffic Flow Validation - HGVs (excluding buses) PM Peak Traffic Flow Validation - Taxis
Site Flow 1730-1830 Difference GEH Individual
Flows
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Difference GEH Individua
l Flows
Flow 1730-1830 Difference GEH Individua
l Flows
Site Flow 1730-1830Site Flow 1730-1830 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
63
AECOM WCCE – VISSIM Study: Local Model Validation Report 56
Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street Pipers Row/Castle Street
Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 Node 860 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
860 420 Pipers Row South 417 860420417 Castle Street 44 52 8 -18% 1.2 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 38 44 6 -16% 1.0 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 0 0 0 0% 0.0 Y Y Y OK 860 420 Pipers Row South 417 860420417 Castle Street 6 8 2 -33% 0.8 Y Y Y OK
860 420 Pipers Row South 420 860420420 Pipers Row North 246 285 39 -16% 2.4 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 174 209 35 -20% 2.5 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 0 2 2 0% 2.0 Y Y Y OK 860 420 Pipers Row South 420 860420420 Pipers Row North 6 8 2 -33% 0.8 Y Y Y OK
860 107 Pipers Row North 107 860107107 Pipers Row South 59 89 30 -50% 3.4 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 54 76 22 -40% 2.7 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 0 1 1 0% 1.4 Y Y Y OK 860 107 Pipers Row North 107 860107107 Pipers Row South 4 11 7 -175% 2.6 Y Y Y OK
Total Vehicles 349 426 77 22% Total Vehicles 266 329 63 23% Total Vehicles 0 3 3 #DIV/0! Total Vehicles 16 27 11 69%
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
3 100.00 3 100.00 3 100.00 3 100.00
0 0 0 0
Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street Pipers Row/Queen Street
NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 861 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
861 107 Pipers Row North 412 861107412 Berry Street 18 18 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 10 10 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 0 0 0 0% 0.0 Y Y Y OK 861 107 Pipers Row North 412 861107412 Berry Street 0 0 0 0% 0.0 Y Y Y OK
861 107 Pipers Row North 107 861107107 Pipers Row South 72 88 16 -23% 1.8 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 64 75 11 -18% 1.4 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 0 1 1 0% 1.4 Y Y Y OK 861 107 Pipers Row North 107 861107107 Pipers Row South 7 11 4 -57% 1.3 Y Y Y OK
861 420 Pipers Row South 410 861420410 Queen Street 46 54 8 -18% 1.2 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 46 54 8 -18% 1.2 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 410 861420410 Queen Street 0 0 0 0% 0.0 Y Y Y OK
861 420 Pipers Row South 412 861420412 Berry Street 45 45 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 27 28 1 -4% 0.2 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 0 0 0 0% 0.0 Y Y Y OK 861 420 Pipers Row South 412 861420412 Berry Street 1 0 -1 100% 1.4 Y Y Y OK
861 420 Pipers Row South 420 861420420 Pipers Row North 155 185 30 -19% 2.3 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 101 125 24 -24% 2.3 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 0 2 2 0% 2.0 Y Y Y OK 861 420 Pipers Row South 420 861420420 Pipers Row North 5 8 3 -60% 1.2 Y Y Y OK
Total Vehicles 336 390 54 16% Total Vehicles 248 293 45 18% Total Vehicles 0 3 3 #DIV/0! Total Vehicles 13 19 6 46%
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill Horseley Fields / Corn Hill
NODE 881 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 10007 Union Street 6 881100076 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
881 6 Horseley Fields W 32 881632 Corn Hill 19 18 -1 4% 0.2 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 18 18 0 -1% 0.0 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 1 0 -1 100% 1.4 Y Y Y OK 881 6 Horseley Fields W 32 881632 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
881 6 Horseley Fields W 6 88166 Horseley Fields E 406 373 -33 8% 1.7 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 401 367 -34 8% 1.7 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 5 6 1 -13% 0.3 Y Y Y OK 881 6 Horseley Fields W 6 88166 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
881 34 Corn Hill 6 881346 Horseley Fields E 23 42 19 -82% 3.3 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 23 34 11 -49% 2.1 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK 881 34 Corn Hill 6 881346 Horseley Fields E 0 8 8 0% 3.9 Y Y Y OK
881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK 881 54 Horseley Fields E 32 8815432 Corn Hill 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 448 432 -15 -3% Total Vehicles 442 419 -23 -5% Total Vehicles 6 6 0 -6% Total Vehicles 0 8 8 #DIV/0!
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
5 100.00 5 100.00 5 100.00 5 100.00
0 0 0 0
Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross Horseley Fields / Middle Cross
NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10 NODE 882 From VLOOKUP To Observed Modelled Value % Value <5 <7.5 <10
882 18 Middle Cross 82 8821882 Horseley Fields E 312 325 12 -4% 0.7 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 293 297 4 -2% 0.3 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 12 12 0 -2% 0.1 Y Y Y OK 882 18 Middle Cross 82 8821882 Horseley Fields E 0 8 8 0% 3.9 Y Y Y OK
882 18 Middle Cross 52 8821852 Horseley Fields W 75 72 -3 4% 0.4 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 75 72 -3 4% 0.4 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 18 Middle Cross 52 8821852 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
882 19 Horseley Fields E 19 8821919 Middle Cross 851 853 3 0% 0.1 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 826 829 3 0% 0.1 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 11 11 0 -1% 0.0 Y Y Y OK 882 19 Horseley Fields E 19 8821919 Middle Cross 3 2 -1 27% 0.5 Y Y Y OK
882 12 Horseley Fields E 52 8821252 Horseley Fields W 37 37 0 -1% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 37 37 0 -1% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK 882 12 Horseley Fields E 52 8821252 Horseley Fields W 0 0 0 0% 0.0 Y Y Y OK
882 9 Horseley Fields W 19 882919 Middle Cross 75 42 -33 43% 4.3 Y Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 75 35 -41 54% 5.5 N Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 0 0 0 0% 0.0 Y Y Y OK 882 9 Horseley Fields W 19 882919 Middle Cross 0 8 8 0% 4.0 Y Y Y OK
882 6 Horseley Fields W 82 882682 Horseley Fields E 354 374 20 -6% 1.0 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 349 368 19 -5% 1.0 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 5 6 1 -20% 0.4 Y Y Y OK 882 6 Horseley Fields W 82 882682 Horseley Fields E 0 0 0 0% 0.0 Y Y Y OK
Total Vehicles 1704 1703 -1 0% Total Vehicles 1655 1638 -17 -1% Total Vehicles 28 29 1 5% Total Vehicles 3 18 15 540%
6 100.00 5 83.33 6 100.00 6 100.00
0 1 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
6 100.00 6 100.00 6 100.00 6 100.00
0 0 0 0
Validation Summary Validation Summary Validation Summary Validation Summary
PM peak All Vehicles Flow 1730-1830 PM peak Cars Flow 1730-1830 PM peak HGVs Flow 1730-1830 Flow 1730-1830 PM peak Taxis Flow 1730-1830 Flow 1730-1830
102 98.08 101 97.12 104 100.00 104 100.00
2 3 0 0
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
104 100.00 104 100.00 104 100.00 104 100.00
0 0 0 0
Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site
Flow 1730-1830Site Flow 1730-1830 Difference GEH Individual
Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
GEH Individua
l Flows
Difference GEH Individua
l Flows
Site Flow 1730-1830 DifferenceFlow 1730-1830 Difference GEH Individua
l Flows
Site
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria = Individal Flows meeting DMRB criteria =
Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 = Percentage of Validation Counts with GEH < 5 =
Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 = Percentage of Validation Counts with GEH < 10 =
64
AECOM WCCE – VISSIM Study: Local Model Validation Report 57
65
AECOM WCCE – VISSIM Study: Local Model Validation Report 58
66
Appendix 2
Traffic Forecasting Report
Page 60
67
68
Transportation
Centro February 2014
Wolverhampton City Centre Metro Extension – VISSIM Study: Traffic Forecasting Report
69
Checked by: ............................................................. Daniel Bent Senior Consultant Verified by: ............................................................. Approved by: ........................................................................ Sarah Guest Paul Robbins Associate Director Technical Director
Rev No Comments Checked Verified Approved Date
P01 Draft Final for Review DB AG MC 5th
July 2013
P02 Final Issue AG NS RM 5th
August 2013
P03 Revised following changes discussed in meeting with URS DB AG RM 16th
Sept 2013
P04 Revised following additional model scenario DB SG PR 14th
Feb 2014
Colmore Plaza, Colmore Circus Queensway, Birmingham, B4 6AT Telephone: 0121 262 1900 Website: http://www.aecom.com Job No 60274057 Reference: WCCE-RRP-002 Date Created February 2014 This document has been prepared by AECOM Limited for the sole use of our client (the “Client”) and in accordance with generally accepted consultancy principles, the budget for fees and the terms of reference agreed between AECOM Limited and the Client. Any information provided by third parties and referred to herein has not been checked or verified by AECOM Limited, unless otherwise expressly stated in the document. No third party may rely upon this document without the prior and express written agreement of AECOM Limited. f:\tp\project\traffic - wolverhampton city centre metro extension\9 - modelling\reports\forecasting note\wcce-rrp-002 rev p04.docx
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1 Introduction ....................................................................................................................................................................... 2
2 Scheme Background......................................................................................................................................................... 5
3 Traffic Forecasting Assumptions .................................................................................................................................... 7
4 Forecast Scenarios and Matrix Development ............................................................................................................... 19
5 Model Performance ......................................................................................................................................................... 35
6 Summary and Conclusions ............................................................................................................................................ 73
Table of Contents
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1 Introduction
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AECOM WCCE – VISSIM Study: Traffic Forecasting Report 2
Capabilities on project:
Transportation
1.1 Background
In October 2012, AECOM were commissioned by Centro to undertake a micro-simulation traffic assessment of the proposed
Wolverhampton City Centre Metro Extension (WCCE) scheme. This involved testing both the baseline layout and preferred
scheme using the micro-simulation software VISSIM.
The primary objective of the VISSIM model was to assess the operational performance of the Metro extension and its impact on
the existing local highway network to assure key stakeholders, including Centro and Wolverhampton City Council (WCC) that the
scheme delivers sufficient benefits with minimal impact.
A secondary objective of the model was to assess the traffic impact of the relocation of the existing vehicular access to
Wolverhampton Rail Station, and the accompanying Multi-Storey Car Park (MSCP), from Railway Drive to new access points
located off Corn Hill. The access arrangements to the station will be revised as part of the wider ‘Wolverhampton Interchange
Project’ which involves the redevelopment of the bus and rail stations, along with supplementary mixed use development
proposals, including the provision of a new MSCP.
The preferred scheme has been tested using a 2026 Forecast Year; with background growth applied to the network in the form of
known local committed developments and forecast station passenger growth.
Before undertaking a forecasting assessment of the scheme proposal, a 2012 base year model was developed to ensure that the
VISSIM model provides a realistic representation of existing traffic conditions and can therefore be used as a tool to assess a
2026 forecast scenario.
The development of the 2012 base model and the associated results can be found in the document: Wolverhampton City Centre
Metro Extension – VISSIM Study: Local Model Validation Report (AECOM Ref WCCE-RRP-001, August 2013).
This report describes the forecasting work undertaken, and the results of modelling of forecast scenarios.
1.2 2026 Model Study Area
The extents of the modelled study area have been maintained from the 2012 base model and include the local highway network
within the vicinity of the existing bus and rail stations within Wolverhampton City Centre. Figure 1.1 demonstrates the model
study area, which includes the following junctions:
J1. Horseley Fields / Corn Hill Signalised Junction
J2. Horseley Fields / Middle Cross Signalised Junction
J3. Bilston Island Signalised Roundabout
J4. Bilston Street / Pipers Row Signalised Junction
J5. Pipers Row / Tower Street / Bus Station / Castle Street
J6. Pipers Row / Queen Street / Berry Street Priority Controlled Junction
J7. Pipers Row / Lichfield Street / Fryer Street / Railway Drive Signalised Junction
J8. Railway Drive at Wolverhampton Rail station
1 Introduction
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AECOM WCCE – VISSIM Study: Traffic Forecasting Report 3
Capabilities on project:
Transportation
Figure 1.1 – Model Study Area
1.3 Traffic Forecasting Report
This Traffic Forecasting Report (TFR) is set out as follows:
- Chapter 2 sets out the scheme background;
- Chapter 3 outlines the traffic forecasting assumptions;
- Chapter 4 outlines the forecast scenarios and matrix development;
- Chapter 5 provides a summary of the performance of the 2026 model scenarios; and
- Chapter 6 provides summary and conclusions.
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6
5
4
3
8
2
1
A41 Bilston Road
A4150 Ring Rd
St Georges
A454 Horseley Fields
Corn Hill
Pipers Row
Bilston Street
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2 Scheme Background
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AECOM WCCE – VISSIM Study: Traffic Forecasting Report 5
Capabilities on project:
Transportation
2.1 Scheme Background
The scheme is being brought forward in partnership between Centro, Neptune, Virgin, Network Rail and Wolverhampton City
Council, with a business case being prepared.
In 2009, AECOM undertook a study as part of the former Wolverhampton City Centre Loop (WCCL) proposals. However, the
proposed route of the Metro extension has been amended since the 2009 study and will now extend from the existing Metro Line
1 track on Bilston Street and continue along Piper’s Row and Railway Drive, to Wolverhampton Rail station, continuing east for a
short section before terminating on land to the east of Corn Hill.
The current WCCE proposal differs from the former WCCL scheme with the omission of sections of the route along Bilston
Street, Market Street, Princess Street and Lichfield Street and the subsequent inclusion of a northbound track on Piper’s Row,
allowing trams to run concurrently in both directions.
Two new tram stops are proposed as part of the Metro extension with two platforms on Piper’s Row (northbound and
southbound) and two platforms outside Wolverhampton Rail station.
It is proposed that the trams will operate on a six minute frequency and that all services will utilise the new Metro extension in the
peaks, with the existing tram terminus at Bilston Street being no longer used at these times.
The key feature of the scheme will be the integration of bus, rail and tram at a single site and the Metro will form an integral part
of the Wolverhampton Interchange Project (WIP).
The proposed WCCE scheme drawing providing an overview of the extension route and location of the four new tram stops
within the City Centre can be found in Appendix A of this report.
2.2 Wolverhampton Interchange Project Proposals
As part of the wider WIP proposals, it is proposed that vehicular access to the station frontage and existing station parking will be
relocated from Railway Drive to new access points off Corn Hill. A new station frontage and drop off area is proposed as part of
the WIP proposals, along with the provision of a new expanded MSCP with the capacity of approximately 900 spaces. The
changes to the proposed access arrangements have been considered as part of this study and will be assessed in more detail
within later sections of this report.
The location of the proposed new station access and multi-storey car park access are also shown pictorially in the proposed
scheme drawing within Appendix A.
As the WIP is an ongoing development project, with Phase 1 now completed and Phase 2 underway, the latest land use
schedule was obtained from Neptune in order to ascertain a revised forecast for the level of development traffic, netting out any
existing development demand that had to date been completed or fitted out and would therefore been included within the existing
2012 counts/matrices.
2 Scheme Background
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3 Traffic Forecasting
Assumptions
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AECOM WCCE – VISSIM Study: Traffic Forecasting Report 7
Capabilities on project:
Transportation
3.1 Overview
This section outlines the forecasting assumptions made regarding background traffic growth and estimates for future
development that were considered prior to the development of the 2026 VISSIM matrices.
3.2 Background Growth
The development of the 2012 base year matrices that were used in the 2012 VISSIM models is described in full in the Local
Model Validation Report (LMVR). These matrices were based on a series of traffic counts collected within the study area during
2012, with a small number of additional counts from 2009 used and locally adjusted to 2012 levels to enable a consistent base.
In order to develop a set of 2026 forecast year matrices to be used within the 2026 VISSIM models, it was initially proposed to
use locally adjusted TEMPRO growth factors. Using TEMPRO 6.2 for the Wolverhampton study area, the locally adjusted
TEMPRO growth factors between a 2012 base year and 2026 future year are approximately 20% in both the AM and PM peak
periods. At a district level, this forecast level of growth may be appropriate, however it was envisaged that this level of growth
was unrealistic for the City Centre, representing an overestimation of the likely level of forecast growth that may occur.
Furthermore, given capacity constraints within the existing local highway network, subsequent traffic re-assignment away from
the Ring Road is likely should such congestion occur.
Initial 2026 model testing demonstrated that the application of 20% TEMPRO growth resulted in very large levels of queuing and
delay throughout the network. As such, it was deemed that the benefits of taking forward and fully developing the 2026 VISSIM
models (with and without Metro) based on a TEMPRO based approach were minimal. The level of congestion demonstrated
within the initial model runs would have led to difficulty in drawing out independent and meaningful conclusions from the
modelling study.
Therefore, a revised forecasting approach based on station background growth (linked to passenger forecasts) and known
committed local development was taken forward. It is believed that this forecasting approach provides a more robust
assessment with growth tailored towards the rail station and known local developments, as opposed to a network wide blanket
TEMPRO growth factor. It is considered that this provides a more robust modelling approach, enabling more accurate
conclusions to be drawn from the VISSIM study.
3.3 Station Background Growth
In order to calculate an accurate level of station background growth that will use both the multi-storey station car park and station
drop off areas, it was proposed to use growth factors from the 2011 West Midlands and Chiltern Route Utilisation Strategy where
Network Rail forecast annual passenger growth of 2.2% per annum between 2009 and 2021.
Given the 14 intermediate years between 2012 and 2026, the application of 2.2% passenger growth per annum results in a
growth factor of 30.8%. This growth factor has been applied to the row and column totals of the VISSIM Origin-Destination (O-D)
matrix for Zone 16 (Railway Station), Zone 17 (Existing Station MSCP) and Zone 23 (Station Taxi Rank), under the assumption
that vehicular traffic to the station will grow in parity to passenger growth forecasts.
The background growth equates to:
- An increase of 410 two way trips along Railway Drive during the 07:00 – 09:30 period (of which 72 are associated with the
MSCP) and an increase of 98 two way taxi trips along Railway Drive.
- An increase of 389 two way car trips along Railway Drive during the 16:00 – 18:30 period (of which 63 are associated with the
MSCP) and an increase of 79 two way taxi trips along Railway Drive.
As outlined in section 2.2, the proposed MSCP will have a capacity of approximately 900 spaces. The addition of 72 two way
background trips across the 07:00 – 09:30 AM peak period and 63 two way background trips across the 16:00 – 18:30 peak
periods when compared against the 2012 base matrix demands (which were developed using counts) indicate that this addition
3 Traffic Forecasting
Assumptions
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AECOM WCCE – VISSIM Study: Traffic Forecasting Report 8
Capabilities on project:
Transportation
of growth into the MSCP will be easily accommodated by the proposed 900 space MSCP on top of the 2012 AM peak period two
way flow of 233 vehicles and 2012 PM peak period two way flow of 210 vehicles.
The full breakdown of the development of the station and MSCP background forecasts can be found below in Tables 3.1 – 3.8
AM peak Zone 16 – Station Inbound Zone 16 – Station Outbound
2012 (cars) Growth (30.8%) 2012 (cars) Growth (30.8%)
07:00 – 07:30 110 34 124 38
07:30 – 08:30 264 81 273 84
08:30 – 09:30 170 52 157 49
Total 554 167 544 171
Table 3.1 – Forecast Station Background Growth – AM Cars
AM peak Zone 17 – MSCP Inbound Zone 17 – MSCP Outbound
2012 (cars) Growth (30.8%) 2012 (cars) Growth (30.8%)
07:00 – 07:30 57 18 4 1
07:30 – 08:30 93 29 2 1
08:30 – 09:30 76 23 1 0
Total 226 70 7 2
Table 3.2 – Forecast MSCP Background Growth – AM Cars
AM peak Zone 16 – Station Inbound Zone 16 – Station Outbound
2012 (taxi) Growth (30.8%) 2012 (taxi) Growth (30.8%)
07:00 – 07:30 8 2 8 2
07:30 – 08:30 26 8 26 8
08:30 – 09:30 19 6 19 6
Total 53 16 53 16
Table 3.3 – Forecast Station Background Growth – AM Taxis
AM peak Zone 23 – Taxi Rank Inbound Zone 23 – Taxi Rank Outbound
2012 (taxi) Growth (30.8%) 2012 (taxi) Growth (30.8%)
07:00 – 07:30 10 3 13 4
07:30 – 08:30 24 7 36 11
08:30 – 09:30 51 15 43 13
Total 85 26 92 28
Table 3.4 – Forecast Taxi Rank Background Growth – AM Taxis
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AECOM WCCE – VISSIM Study: Traffic Forecasting Report 9
Capabilities on project:
Transportation
PM peak Zone 16 – Station Inbound Zone 16 – Station Outbound
2012 (cars) Growth (30.8%) 2012 (cars) Growth (30.8%)
16:00 – 16:30 85 26 88 26
16:30 – 17:30 212 64 195 59
17:30 – 18:30 253 76 242 73
Total 550 165 525 158
Table 3.5 – Forecast Station Background Growth – PM Cars
PM peak Zone 17 – MSCP Inbound Zone 17 – MSCP Outbound
2012 (cars) Growth (30.8%) 2012 (cars) Growth (30.8%)
16:00 – 16:30 9 3 19 6
16:30 – 17:30 14 4 56 17
17:30 – 18:30 28 8 84 25
Total 51 15 159 48
Table 3.6 – MSCP Background Growth – PM Cars
PM peak Zone 16 – Station Inbound Zone 16 – Station Outbound
2012 (taxi) Growth (30.8%) 2012 (taxi) Growth (30.8%)
16:00 – 16:30 7 2 9 3
16:30 – 17:30 15 5 20 6
17:30 – 18:30 10 3 15 5
Total 32 10 44 13
Table 3.7 – Forecast Background Station Growth – PM Taxis
PM peak Zone 23 – Taxi Rank Inbound Zone 23 – Taxi Rank Outbound
2012 (taxi) Growth (30.8%) 2012 (taxi) Growth (30.8%)
16:00 – 16:30 22 7 23 7
16:30 – 17:30 32 10 30 9
17:30 – 18:30 44 13 35 11
Total 98 29 88 26
Table 3.8 – Forecast Taxi Rank Background Growth – PM Taxis
Therefore, to summarise the level of forecast station, car park and taxi rank background growth:
For zone 16 (the station access) there will be an additional 183 and arrivals across the AM peak period and 175 arrivals
for the PM peak period,
For zone 16 (the station access) there will be an additional 187 departures for the AM peak period and 171 departures
for the PM peak period,
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