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HSM: Another Tool for Safety Management in Wyoming. Excellence in Transportation. Acronym Soup. WYDOT – Wyoming Department of Transportation HSM – Highway Safety Manual ITE – Institute of Traffic Engineers SMS – Safety Management System CARE – Critical Analysis Reporting Environment - PowerPoint PPT Presentation
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HSM: Another Tool for Safety Management in Wyoming
1
Excellence in Transportation
Acronym Soup
• WYDOT – Wyoming Department of Transportation
• HSM – Highway Safety Manual
• ITE – Institute of Traffic Engineers
• SMS – Safety Management System
• CARE – Critical Analysis Reporting Environment
• CMF – Crash Modification Factor (AMF in HSM)
• B/C – Benefit-Cost Ratio
• NPV – Net Present Value
• SPF – Safety Performance Function
• RTM – Regression-to-the-mean
• ARF – Accident Reduction Factor (CRF in HSM)
• AADT – Annual Average Daily Traffic
2
Early Stages
• Started before the Highway Safety Manual was finally approved or published
• Highway Safety, Traffic, Road Design, and District Operations people did attend a one-day introductory training at an ITE meeting in May, 2010
• Plan is to incorporate the quantitative processes into WYDOT’s Safety Management System
3
The WYDOT SMS Process
Safety Issue Identification / quantification
Safety Project
Definition
Safety Project
Prioritization
Project Planning
Effectiveness Studies
ProjectDeployment
Prioritized opportunities
to analyze
Feedback Loop
Candidate S
afety Projects
Benefits and costs; B
/C
Projects consolidated
with other program
s
Prioritized safety
project stack
Updates to CMFs, Guidance
Deployed &
Operational
NetworkSafety Index
Pavement Project Recommendations
Bridge Project Recommendations
CAREIntersection MagicSafety AnalystEtc.
Includes all Safety Projects
• For all Safety work• Done in advance
STIP, etc.
Theme Studies
District Inputs
4Excellence in Transportation
Highway Safety Manual
• Crash modification factors
• Project planning input
• Process to calibrate for state
5Excellence in Transportation
6
Where the HSM fits in to Project Definition
Safety Project Definition step
Methods for estimating safety effectiveness (of a remedy / set of remedies)
Appropriate SPF, calibration, multiple data sets, and CMF (limited)
Select appropriateremedy(ies)
Identify expected improvements (CMF)
Calculate lifecycle benefits (NPV)
Part C – Predictive Method (with calibrated SPF, HSM CMFs)
Un-calibrated SPF and CMFs (HSM, Part D, others)
Observed crash frequency and CMFs (HSM, Part D, others)
Appropriate SPF, multiple data sets, and CMF
Historical crash data and CMF, doesn’t address RTM
In decreasing order of reliability; from HSM training (4.56)
Needs for each
Also, calculate lifecycle cost,project B/C ratio
6Excellence in Transportation
Which Method to use?• Use HSM Part C – Predictive Method
– Pros: Most reliable (according to HSM)
– Cons: Needs lots of data sets (WYDOT does not have several); needs calibration (extensive process)
• Use un-calibrated SPF– Pros: Still reliable (according to HSM)
– Cons: Needs lots of data sets (WYDOT does not have several);
• Use observed (historic crashes)– Pros: Needs least amount of additional data; familiar to
people (similar to previous use of ARF)
– Cons: Least reliable (according to HSM)
7Excellence in Transportation
8
Applying CMF – Using observed crash frequency
Observed crashes
Specific Site being analyzed
Selectremedies
Expected changein crash counts
* Generally studies refer to Crash / Accident Reduction Factors which translate to CMF
Expected benefits of remedy(ies)
Identify CMF*
8Excellence in Transportation
9
Applying CMF – HSM Part C Predictive Method
Select appropriate SPF(based on facility)
Identify site characteristics(delta from baseline)
SelectRemedy(ies)
Apply CMF
Expected average crash frequency for the site
Difference = expected benefits
of remedy(ies)
Determine SPF for site
Find corresponding CMF for the remedy(ies)
Up to 18 parameters
From HSM lists(Part C, Part D)
Calibrateeach SPF
Determine C for each SPF
Determine volume for site(based on site)
Adjust SPF
Engineering judgement
9Excellence in Transportation
HSM Part C – Expected average crash frequency(example; 2-lane rural highway segment)
CMF(lw) CMF(swt) CMF(hc) CMF(se) CMF(gr) CMF(dd) CMF(crs) CMF(pl) CMF(2lt) CMF(rd) CMF(l) CMF(ase)
Expected change in average crash frequency
for specific site given selected remedies
X
X X X X X X X X X X X
=
Adjust for la
ne width
Adjust for shoulder w
idth, type
… horizontal curve (3 factors)
… superelevation
… grade
… driveway density
… centerline rumble strip
s
… passing lanes
… roadside rating hazard
… lighting
… automatic speed
enforcement
… 2-way left turn lanes
SPF for rural 2-lane
AADT x Length + (365*10-6) x e-0.312
X
CMF1 CMF2X
… for selected
remedies
1 - ( )
10Excellence in Transportation
HSM Core Data Needs for SegmentsFactor Unit WYDOT Status
Length of segment miles OK
AADT veh/day OK1
Lane width ft OK
Shoulder width ft OK
Shoulder type paved, gravel, etc.
OK
Length of horizontal curve mi OK
Radius of curvature ft OK
Spiral transition present y/n OK
Superelevation variance ft/ft Not yet
Grade % OK
Driveway density driveways/mile Working2
Centerline rumble strips present y/n Assume no
Passing lanes present y/n maps3??
Two-way left turn lanes present y/n maps3??
Roadside rating hazard 1-7 scale maps4??
Segment lighting present y/n Assume no
Auto speed enforcement present y/n Assume no
Calibration factor TBD
NOTES:1.However, need
projected future traffic volumes
2.Data identified as coming from Pathways log.
3.Roadway width will catch many of these, but not all. Should we modify number of lanes table for this?
4.DCE’s agreed to gather this data in FY 2011, specifics to be determined?
11Excellence in Transportation
Observations & Conclusions• HSM Predictive method requires too much effort at this
point– To obtain missing data sets, to perform SPF calibration
• HSM “Observed Crash Frequency” method can readily be used in WYDOT’s SMS approach– Easier to combine multiple remedies– Decision needed regarding “expected” crash rates
• Not all WYDOT remedies are covered by HSM Part C CMFs– Can also use Part D CMFs but with caveats
• Need additional data– Expected future traffic volumes (or at least growth rate)
• In order to calculate lifecycle crash reduction
– Roadside data • In order to support some of the CMFs (e.g. way left turn lanes,
passing lanes, though partially available in the # lanes table)
12Excellence in Transportation
Going Forward
• Who should attend HSM training?• Finalize the starting remedies to consider for now• Identify appropriate CMF values to use for each remedy
– Work with District Traffic Engineers– Document logic for selection of values
• DiExSys is continuing research (Highway Safety)– Terrain (flat/rolling/mountainous) might be a sufficient surrogate
for roadside hazard rating
• Address need for future traffic volume data• Other possibilities
– Prototype HSM calculation of expected average crash frequency for different segments using available data sets
– Determine need/ability to get missing data sets
13Excellence in Transportation