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September 2015 TCC Expo November 2015 CMAP RTOC May 26, 2016

CMAP RTOC - Home - CMAP

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Page 1: CMAP RTOC - Home - CMAP

September 2015

TCC ExpoNovember 2015

CMAP RTOCMay 26, 2016

Page 2: CMAP RTOC - Home - CMAP

We connect to all of your signalized intersections, we do not interfere with traffic signal operation – we only collect data.

We generate essential performance measures, using queue length processing,* that agency traffic engineers can use to better manage signalized arterial roadways:

Comply with MAP-21 / FAST Performance Measure requirements to qualify for federal funding;

Online Real-Time performance monitoring and Off-Line analysis tools;

Travel-time & Queue Length;

Reduce congestion, fuel consumption, carbon footprint and increase safety.

Our unique approach allows us to connect to any signalized intersection in North America.

Our technology provides accurate traffic flow & traffic signal sequence data to a growing ecosystem of companies that seek to move traffic, people and goods safely & efficiently.

LIVE TRAFFIC DATA LLC“Queue Length Processing (QLP) is the only way to calculate the accurate wait time of vehicles at traffic lights and deliver ALL the data needed for generating accurate travel times on signalized arterial corridors…”

* U.S. Patent No. 8,279,086

Summary

OVERVIEW

Page 3: CMAP RTOC - Home - CMAP

FHWA has identified some of the principal causes of congestion

– Bottlenecks - responsible for over 40% of urban congestion

– Signal Timing - responsible for up to 10 % of traffic delay

According to the 2015 Urban Mobility Scorecard*, congestion caused 6.9 billion hours of delay in 2014 and 3.1 billion gallons of wasted fuel with a nation-wide annual cost of $160 billion or about $960 per commuter

Congestion leads to:• productivity losses from traffic delays• Increased air pollution• increased accidents and need for added emergency services

* Texas Transportation Institute Urban Mobility Scorecard published in August 2015 ( http://mobility.tamu.edu/ums/ )

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Significant Problems

Problem: High Levels of Congestion and Lost Productivity

Page 4: CMAP RTOC - Home - CMAP

* Latest report released – National Transportation Operations Coalition, 2012 National Traffic Signal Report Card.** Mckinsey Global Institute, ¨How to Save $1 Trillion a Year,¨ 2013.

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The lack of funds has led NTOC to assign a self-assessed Failing Grade on Traffic Monitoring and Data Collection*

Manual data collection and processing is time-consuming and expensive

Operational data is neither stored nor analyzed

Lack of monitoring and analysis tools

Need for performance measures

¨Transport planners recognize that adding or expanding roads quickly induces additional demand, providing only temporary relief to congestion¨**

Significant Problems

Problem: Lack of Funds at Transportation Agencies

Page 5: CMAP RTOC - Home - CMAP

Supports All Controller Types

• Econolite

• Siemens

• McCain

• Peek

• Trafficware (Naztec)

• Intelight

• …

Supports All Detector Types

Loop

Video

Radar

Magnetic

Hybrid

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Solution

UNIQUE Approach Enables Us to Connect to Any Signalized Traffic Intersection

NEMA, 170/2070, …

Page 6: CMAP RTOC - Home - CMAP

Gather traffic signal status and traffic flow data

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Data Collection Unit (DCU) hardware

Cabinet hardened plug-and-play device

Works with all traffic controller cabinets in the U.S. and Canada (TS-1, TS-2, 170/2070)

No interference with existing signal control

Works with all vehicle detection devices

Work with existing detector layouts—no customization required

Fiber / Ethernet / serial and wireless communication environments

Solution

UNIQUE Hardware Solution

Page 7: CMAP RTOC - Home - CMAP

TS-2 type cabinets

Cabinet SDLC bus line

7

Solution

Field Implementation

Page 8: CMAP RTOC - Home - CMAP

TS-1 type cabinets

Controller A,B,C,D connectors

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Solution

Field Implementation

Page 9: CMAP RTOC - Home - CMAP

170/2070 type cabinets

Controller C-1 connector

Solution

Field Implementation

Page 10: CMAP RTOC - Home - CMAP

LTD Local Server

DOT Firewall

LTD Database Server

LTD Performance Measure

Webserver

Solution

LTD Performance Measure System Architecture

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Multiple Agency Hi-Resolution Data Pushed to Cloud

Solution

Metro Server

City Server

State DOT Server

County Server

40 TSI

3 TSI8 TSI

5 TSI

LTD ArterialPerformance Measure

Cloud Server

Page 12: CMAP RTOC - Home - CMAP

Regional Access to Performance Measures

Solution

Metro Server

City Server

State DOT Server

County Server

40 TSI

3 TSI8 TSI

5 TSI

MetroWorkstn

State DOTWorkstn

CityWorkstn

CountyWorkstn

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LTD ArterialPerformance Measure

Cloud Server

56 TSI

56 TSI

56 TSI

56 TSI

Page 13: CMAP RTOC - Home - CMAP

On-line Real-time Performance Measures for Traffic AgenciesIntersection LOS

Link Delay

Customized Alerts

Off-line analysis tools for consulting

firms and signal timing engineers

Performance Assessment

Signal Optimization Preparation

Fine-tuning Analysis

Performance Comparison (before vs. after)

Retiming Benefits Analysis

Reports

Solution

We Provide Powerful Monitoring & Analysis Software Suite

Page 14: CMAP RTOC - Home - CMAP

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Application Example

Real-Time Performance Monitoring

Provides real-time performance monitoring for the corridor Level of service Link speed Average delay Saturation level

Page 15: CMAP RTOC - Home - CMAP

Automatic Notification of Service Anomalies

Ex. 7. Real-time Alerts

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Application Example

Real-time Alerts

Page 16: CMAP RTOC - Home - CMAP

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Application Example

Intersection Performance Comparison

Automatic comparison of different performance measures

Queue length Total / average delay Saturation level Arrival on green Volumes …

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Application Example

Split Analysis

Use split analysis to evaluate the actual performance of specific phases # of Gap out, Max Out, Force Off, Skipped

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Field-data driven T-S Diagram Evaluate the actual performance Fine-tune coordination

Application Example

Arterial Performance Time-Space Diagram

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Application Example

Real-Time Travel Time Estimation

Nine intersections in the City of Moorhead 6 TS-1 intersections 3 TS-2 intersections Siemens Eagle controllers

Page 20: CMAP RTOC - Home - CMAP

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Automatic comparison of travel times and vehicle trajectories Travel time variation and reliability Detailed vehicle trajectories Before-and-after studies

Application Example

Travel Time / Vehicle Trajectory Comparison

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To better understand how congestion evolves

Different cell colors indicate different congestion levels

Easily identify the most and least congested time and location

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EB WB

5 am

6 pm

Noon

Queue Delay

1 2 3 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10

Application Example

Arterial Congestion Report

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Application Example

Retiming Benefits

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Detector Layout

2626

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

0

20

40

60

80

100

120

140

1 3 5 7 9 11 13 15 17 19 21 23

Vol

um

e

# o

f R

LR

Time of day

# RLR and Volume vs. Time of Day (Eastbound)

# of RLR volume

Application Example

Ex. 8 – Red Light Running (RLR) Statistics

Page 24: CMAP RTOC - Home - CMAP

Alliant Engineering for Minnesota DOT, 2009

Iteris for the City of Pasadena, CA, 2011

Performance Measures, e.g. Travel Time and Queue Length, were independently verified in these deployments

Alliant Engineering for Minnesota DOT, 2014

LTD system helped engineers to optimize signal timings in much more efficient & effective ways

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Solution

Live Traffic Data Performance Measures Validated by Independent Consultants

Page 25: CMAP RTOC - Home - CMAP

Proven Reliability:

Deployed with DOT’s in Minnesota and California since 2007

Operate regardless of environmental conditions

Do not interfere with the traffic controller--DCUs only collect data

Provide desirable monitoring and analysis tools to traffic engineers

Can provide direct access to any traffic signal cabinet in the U.S.

Effective:

Reduce congestion, fuel consumption and improve signal coordination

Monitor arterial performance

Before & After evaluation

Travel-time, queue length, stops & delays

Traffic alerts

Budget Friendly:

Subsidized cost for H/W, S/W

Save on retiming, signal optimization costs

Meet FAST ACT Performance Measure requirements—qualify for federal funding

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Competitive Advantages

Why Live Traffic Data ™

Page 26: CMAP RTOC - Home - CMAP

INDEPENDENT EVALUATIONS

LTD Data Accuracy Validation

Page 27: CMAP RTOC - Home - CMAP

TH 55 (6 Intersections)

Conducted by Alliant Engineering, Inc.

July 2009

LTD Data Accuracy Validation

Independent Evaluation: TH 55, Golden Valley, MN

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Page 28: CMAP RTOC - Home - CMAP

0

200

400

600

800

1000

6:57:36 7:12:00 7:26:24 7:40:48 7:55:12 8:09:36 8:24:00

July 22nd for TH55WB at Rhode Island Intersection (AM)

MaxQL-Estimation

MaxQL-Observation

0

200

400

600

800

6:57:36 7:04:48 7:12:00 7:19:12 7:26:24 7:33:36 7:40:48 7:48:00 7:55:12 8:02:24

July 23rd for TH55WB at Rhode Island Intersection (AM)

MaxQL-Estimation

MaxQL-Observation

LTD Data Accuracy Validation

Queue Length Comparison

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Page 29: CMAP RTOC - Home - CMAP

0

100

200

300

400

0 100 200 300 400

Observation (seconds)

Estimation (seconds)

Travel Time Estimation vs. Observation(July 22 & 23)

+10%

-10%

LTD Data Accuracy Validation

Travel Time Comparison

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Page 30: CMAP RTOC - Home - CMAP

Conducted by Iteris, Inc.October 2011

Orange Grove Blvd (6 Intersections)

LTD Data Accuracy Validation

Independent Evaluation: Orange Grove Blvd, Pasadena, CA

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Page 31: CMAP RTOC - Home - CMAP

LTD Data Accuracy Validation

Queue Length Result

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Page 32: CMAP RTOC - Home - CMAP

LTD Estimated results

vs. Measured results

LTD Data Accuracy Validation

Travel Time Results

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