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.

Language

  • English

Project

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

    DTRT12-G-UTC08

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Managing Organizations:

    Mountain-Plains Consortium

    North Dakota State University
    P.O. Box 6050, Department 2880
    Fargo, ND  United States  58108-6050
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Dept. of Civil and Environmental Engineering

    South Dakota State University
    Brookings, SD  United States 
  • Principal Investigators:

    Qin, Xiao

  • Start Date: 20120101
  • Expected Completion Date: 20190930
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program
  • 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