Developing a Method to Identify Horizontal Curve Segments with Worst Crash Histories Using the HAF Algorithm

An algorithm called the Horizontal Alignment Finder (HAF) was developed by Brigham Young University during the course of previous research work. This algorithm uses horizontal alignment data provided by the Utah Department of Transportation (UDOT) by way of it's biannual LiDAR-based asset management survey. The HAF algorithm was originally developed solely for two-way two-lane highways. The algorithm as originally developed had approximately an 85% accuracy rate. This research proposes to increase the accuracy and broaden its applicability to other types of roadways than two-way two-lane.

    Language

    • English

    Project

    • Status: Active
    • Funding: $60,000
    • Sponsor Organizations:

      Utah Department of Transportation

      4501 South 2700 West
      Project Development
      Salt Lake City, UT  United States  84114-8380
    • Managing Organizations:

      Utah Department of Transportation

      4501 South 2700 West
      Project Development
      Salt Lake City, UT  United States  84114-8380
    • Project Managers:

      Jensen, Travis

    • Performing Organizations:

      Brigham Young University

      Provo, UT  United States  84602-4081
    • Principal Investigators:

      Saito, Mitsuro

      Schultz, Grant

    • Start Date: 20161220
    • Expected Completion Date: 20180930
    • Actual Completion Date: 0

    Subject/Index Terms

    • TRT Terms: Safety engineering
    • Subject Areas: Design; Highways; Operations and Traffic Management; Safety and Human Factors;

    Filing Info

    • Accession Number: 01656466
    • Record Type: Research project
    • Source Agency: Utah Department of Transportation
    • Files: RiP, STATEDOT
    • Created Date: Jan 16 2018 12:43PM