Imagery Reference Illustrating Data Elements for Crash Prediction Methodology
With the increased emphasis on highway safety, both nationally and with many local agencies, more individuals look to the Highway Safety Manual (HSM) for guidance on how to reduce fatalities and serious injuries on roadways. However, it may be challenging for new users of the crash prediction methods in HSM Part C to understand the various definitions, facility types, facility features, and input values used in safety performance functions (SPFs) and adjustment factors (AFs). This situation can lead to the improper application of the HSM predictive methods. Research is needed to develop resources and ensure state department of transportation staff and other practitioners can interpret and apply the correct input values to crash prediction models to better support data-driven safety analysis. OBJECTIVE: The objective of this project is to develop an imagery reference to assist practitioners in understanding the data elements and definitions used in crash prediction methods as outlined in Part C of the HSM, 2nd Edition. The imagery reference will feature graphics, photographs, drawings, plots, multimedia, and other visual aids to clearly illustrate the characteristics and features of the inputs utilized in predictive analysis.
- Record URL:
-
Supplemental Notes:
- Contract to a Performing Organization has not yet been awarded.
Language
- English
Project
- Funding: $350,000.00
-
Contract Numbers:
Project 17-135
-
Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
Zhao, Yi
- Start Date: 20250211
- Expected Completion Date: 0
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Crash risk forecasting; Data; Highway safety; Manuals; Predictive models
- Identifier Terms: Highway Safety Manual
- Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01919457
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 17-135
- Files: TRB, RIP
- Created Date: May 23 2024 10:02AM