Improving Railroad Grade Crossing Safety: Accurate Prediction of Train Arrival Times for Emergency Response Management and Driver Decision Support

This project is studying train delays to accurately estimate train arrival times at grade crossings to support in-vehicle driver alerts on personal navigation devices. It also will enable effective management of emergency response resources on the road network when trains at grade crossings may temporarily disconnect emergency vehicles from parts of the community they serve. The forecast of arrival times will use train-position information. The work is composed of two phases. The first phase focuses on the development of a historical algorithm to accurately model delays using train-position information. The second phase of the project is developing online algorithms to integrate real-time train position information into the forecasts. Amtrak data and CSX freight rail data are being used to test and validate the algorithms.


  • English


  • Status: Active
  • Funding: $404212
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

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

    Roadway Safety Institute

    University of Minnesota
    Minneapolis, MN  United States  55455
  • Project Managers:

    Stearns, Amy

  • Performing Organizations:

    University of Minnesota, Minneapolis

    Center for Transportation Studies
    Minneapolis, MN  United States 
  • Principal Investigators:

    Work, Daniel

  • Start Date: 20140801
  • Expected Completion Date: 20190331
  • Actual Completion Date: 0
  • Source Data: RiP Project 37494

Subject/Index Terms

Filing Info

  • Accession Number: 01567214
  • Record Type: Research project
  • Source Agency: Roadway Safety Institute
  • Contract Numbers: DTRT13-G-UTC35, CTS-2015057
  • Files: UTC, RiP
  • Created Date: Jun 26 2015 1:00AM