Safety Support System for Highway-Rail Grade Crossing

This research is to develop a safety support system for improvement-resource allocation decision making. There are several critical components. Defining safety performance index is essential, therefore, forecasting models or priority ranking techniques can be utilized to rank the crossings that are not only the "hazard" crossings but also can benefit the most from improvements. A systematic method for identifying and ranking crossings for safety or operational improvement is necessary for an explicit decision making process to improve highway-rail grade crossing (HRGC). The most common approaches to identify the crossings for safety improvement is the hazard index technique. A hazard index is utilized to calculate a value that ranks crossing in relative terms with a higher index associated with a more hazardous crossing while evaluating mainly on fixed effects of traffic exposure factors, travel speed factors, and accident history. Few existing formula also looked at train tracks and lane count factor. Protection factors. None of the existing formulae takes into consideration of both crash frequency estimates and the severity of crashes. Moreover, the existing hazard index approach could not truly identify the most dangerous crossing with limited site indicator factors and could not identify the crossings, which will benefit the most from available improvement activities. In other words, few research aggregate frequency and severity forecasts to estimate crossing hazard. Even with the aggregated hazard measure, hazard alone cannot help decision maker to allocate resources effectively and efficiently. To understand how effective each engineering countermeasure to improve safety performance and reduce hazard at grade crossings is very critical for safety improvement decision-making. Therefore, analyze the potential effectiveness of crossing devices treatments based on specific attributes of each crossing is another critical research focus of the study.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Upper Great Plains Transportation Institute

    1320 Albrecht Blvd.
    Fargo, ND  United States  58102
  • Principal Investigators:

    Lu, Pan

    Tolliver, Denver

  • Start Date: 20171201
  • Expected Completion Date: 20220731
  • Actual Completion Date: 0
  • Source Data: MPC-550

Subject/Index Terms

Filing Info

  • Accession Number: 01653378
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RiP
  • Created Date: Dec 12 2017 1:37PM