HOV/HOT Freeway Crash Prediction Method for the Highway Safety Manual

The first edition of the AASHTO Highway Safety Manual (HSM) in 2010 provided the transportation industry with a method to estimate crash type and frequency by severity for standard highway facility types. However, the HSM does not address freeway facilities with high-occupancy vehicle (HOV) lanes, high-occupancy toll (HOT) lanes, or other managed-lane strategies. There are many design elements of freeways with HOV/HOT lanes that influence performance. Research was needed to develop a safety predictive methodology that can be used to estimate the expected crash frequency and severity of a range of freeway facilities with HOV or HOT with various geometric and traffic volume characteristics. The objectives of this research were to (a) develop a predictive methodology that can be used to estimate crash frequency and severity for freeway facilities, and associated ramps, with HOV or HOT lanes and (b) provide a tool for highway agencies to quantify safety performance in planning, project development, and operation of freeways with HOV or HOT lanes.


  • English


  • Status: Completed
  • Contract Numbers:

    Project 17-89A

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

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

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001
  • Project Managers:

    Harrigan, Edward

  • Performing Organizations:

    Vanasse Hangen Brustlin, Inc.

  • Principal Investigators:

    Himes, Scott

  • Start Date: 20180710
  • Expected Completion Date: 20211231
  • Actual Completion Date: 20211231

Subject/Index Terms

Filing Info

  • Accession Number: 01675047
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 17-89A
  • Files: TRB, RIP
  • Created Date: Jul 17 2018 8:53AM