Real Time Performance Measures from Radar-based Vehicle Detection Systems

Real time monitoring of a transportation system provide agencies with crucial data for fine-tuning their systems. In the case of intersections having real time measures such as delay, queue length, safety indicators can help in planning, designing, and operating the transportation system better. Previous research has focused on computing real time performance measures from point data, mostly the result of monitoring loop detector data, through the use of models and approximations. However, if the individual trajectories of vehicles are known the quality of the values will improve significantly even when the complexity of the models required to obtain the measures is reduced. Technological advances are resulting in vehicle detection devices that not only act as a substitute for loop detectors but provide information that can be used to obtain vehicle trajectories. This paper focuses on presenting the logic behind a software-based methodology used to generate real time performance measures from vehicle trajectories as well as broadcasting those measurements to stakeholders over the internet without significant capital investments. From a practical purpose point of view the methodology, with the appropriate modifications, is used to monitor and broadcast average stopped delay at a signalized intersection approach using a radar-based vehicle detection device.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Santiago-Chaparro, Kelvin R
    • Chitturi, Madhav
    • Bill, Andrea R
    • Noyce, David A
  • Conference:
  • Publication Date: 2012

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: CD-ROM; Figures; Photos; References;
  • Pagination: 10p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01501783
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 23 2013 7:52AM