Estimating Train Arrival Times at Highway-Railroad Grade Crossings Using Multiple Sensors

Current traffic signal preemption strategies at signalized intersections near highway-railroad grade crossings (HRGCs) are based on the minimum required warning time for train arrival at an HRGC of 20 seconds for highway users provided by first generation-train detection technologies. If train arrival times at HRGCs can be accurately estimated within approximately a traffic signal cycle length ahead of train arrivals, signal preemption strategies may be able to be improved and highway traffic can be managed in a safer manner. This research developed a method to improve the estimation of train arrival times at HRGCs by fusing speed data from two sensors located upstream of the studied HRGC: Doppler radar and video image detection (second generation technologies). A Kalman filter model is used to fuse the speed data to overcome the limitations of both sensors when detecting trains on a multiple track environment. Then, train arrival times at the HRGC are estimated based on the collected speeds by the sensors and on the Kalman filter speed estimates. Multiple-train and single train scenarios are considered. Results show that the Kalman filter provided better train arrival time estimations than either radar or video detection estimations alone in a multi-train, multi-track environment.


  • English

Media Info

  • Media Type: DVD
  • Features: Figures; Maps; References; Tables;
  • Pagination: 15p
  • Monograph Title: TRB 89th Annual Meeting Compendium of Papers DVD

Subject/Index Terms

Filing Info

  • Accession Number: 01152690
  • Record Type: Publication
  • Report/Paper Numbers: 10-3353
  • Files: TRIS, TRB
  • Created Date: Jan 25 2010 11:40AM