New Model for Highway-Rail Grade Crossing Accident Prediction and Severity

Details

• Creators:
  Brod, Daniel ; Gillen, David
• Corporate Creators:
  Decisiontek, LLC
• Corporate Contributors:
  United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development and Technology ; United States. Department of Transportation. Federal Railroad Administration. Office of Railroad Policy and Development
• Subject/TRT Terms:
  • Grade crossing protection systems
  • Risk assessment
  • Crash rates
  • Crash severity
  • Crash types
  • High speed rail
  • Highway safety
  • Highway travel
  • Highways
  • Improvements
  More +
• Publication/ Report Number:
  DOT/FRA/ORD-20/40
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report 10/1/2019 – 7/31/2020
• Contracting Officer:
  McClure,Karen
• Corporate Publisher:
  United States. Department of Transportation. Federal Railroad Administration. Office of Research, Development, and Technology ; United States. Federal Railroad Administration. Office of Railroad Policy and Development
• Abstract:
  The U.S. Department of Transportation Accident Prediction and Severity (APS) model has been used by Federal, State, and local authorities to assess accident risk at highway-rail grade crossings since the late 1980s. The Federal Railroad Administration funded research for the development of a new model that employs current consensus analysis methods and recent data trends. The new model also seeks to address several limitations of the current APS model and to provide a more robust tool for analysts. This report presents the stages of the new model development, the statistical estimation of the new model, and validations comparing the performance of the new model with the APS. The research shows that the new model described here out-performs the APS by multiple measures. The new model will support grade crossing management by enabling: more accurate risk ranking of grade crossings, more rational allocation of resources for public safety improvements at grade crossings, and the ability to assess the statistical significance of variances in the measured risk at grade crossings.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/53342/dot_53342_DS1.pdf
• File Type:
  [PDF - 3.06 MB]
• Collection(s):
  Federal Railroad Administration
• Main Document Checksum:
  urn:sha-512:839b668e58810e1fb403ec1541afeac7aece21d15d259e9c09d1e423668f48c81ce396d56cc9214a86d5c5c0104342ad9fd1564cfdc09420efa7b22a7555ba1d