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.

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  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal 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

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