Calibration of HSM Predictive Methods on Rural State and Local Highways

Defining safety performance expectations is a challenge for transportation agencies. The Highway Safety Manual (HSM) of the American Association of State Highway and Transportation Officials (AASHTO) provides guidance for safety analysis using scientific and statistically sound methods. Given the expense of engineering studies and limited funding, safety reviews based on expected safety performance are a useful way to identify hot spots in a highway network as well as sight-specific safety problems. Predictive crash models, as formulated in Equation 1, pinpoint sites with great promise for crash reduction on the basis of decades of safety research and statistical analysis.


  • English


  • Status: Active
  • Funding: $100000
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    Federal Highway Administration

    Office of Infrastructure, 1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    South Dakota State University, Brookings

    Department of Civil and Environmental Engineering
    Brookings, SD  United States  57007
  • Principal Investigators:

    Qin, Xiao

  • Start Date: 20120101
  • Expected Completion Date: 0
  • Actual Completion Date: 20161231
  • Source Data: MPC-438

Subject/Index Terms

Filing Info

  • Accession Number: 01497114
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: DTRT12-G-UTC08
  • Files: UTC, RiP
  • Created Date: Oct 30 2013 1:00AM