Intersection Crash Prediction Methods for the Highway Safety Manual

The objective of the research is to develop a set of crash predictive models consistent with existing methods that are comprehensive in their ability to address a wide range of intersection configurations and traffic control modes in rural and urban areas. The focus should be to: (1) address intersection configurations and traffic control types not currently addressed in the Highway Safety Manual (HSM) and (2) develop supplemental models for predicting the severity distribution as a function of geometric design elements and traffic control features. The predictive models developed in this research are to include safety performance functions (SPFs), crash modification factors (CMFs), and calibration factors in a format that is consistent with the predictive models in the existing HSM Part C. The predictive models should be sensitive to the traffic volumes on all intersecting roads and streets, design elements, and traffic control features considered by engineers and planners during the project development process. The research results are intended for possible inclusion in a future edition of the HSM. Roundabouts shall not be addressed in this research.

Language

  • English

Project

  • Status: Active
  • Funding: $600000
  • Contract Numbers:

    Project 17-68

  • Sponsor Organizations:

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    American Association of State Highway & Transportation Officials (AASHTO)

    444 North Capitol Street, NW, Suite 225
    Washington, DC  United States  20001

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Jared, David

  • Performing Organizations:

    MRI Global

    ,    
  • Principal Investigators:

    Torbic, Darren

  • Start Date: 20140901
  • Expected Completion Date: 20181031
  • Actual Completion Date: 0
  • Source Data: RiP Project 37700

Subject/Index Terms

Filing Info

  • Accession Number: 01543623
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 17-68
  • Files: TRB, RiP
  • Created Date: Nov 19 2014 1:03AM