A route-based dynamic strategy is developed for efficient preemption of traffic signals for emergency vehicles in real time. The proposed method combines an on-line route selection module and a sequential dynamic preemption strategy, so that traffic queues at the intersections on a given emergency route can be cleared in advance for an emergency vehicle, while minimizing delay because of unnecessary preemption. The proposed strategy was simulated in a real traffic network using a microscopic simulation model, which was calibrated with the emergency vehicle travel time data collected from the sample network. The performance of the proposed dynamic preemption was compared with that of the existing intersection-by-intersection preemption strategy which was also modeled and simulated in this study. The simulation results clearly indicate substantial benefit of the proposed strategy over the existing method for the long and complicated routes in reducing the travel time of an emergency vehicle, while maintaining compatible network-wide traffic performance

  • Supplemental Notes:
    • Publication Date: 2003. Transportation Research Board, Washington DC. Remarks: Paper prepared for presentation at the 82nd annual meeting of the Transportation Research Board, Washington, D.C., January 2003. Format: CD ROM
  • Corporate Authors:

    University of California, Berkeley

    California PATH Program, Institute of Transportation Studies
    Richmond Field Station, 1357 South 46th Street
    Richmond, CA  United States  94804-4648

    California Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814

    University of California, Berkeley

    Department of Electrical Engineering and Computer Sciences
    Berkeley, CA  United States  94720
  • Authors:
    • Kwon, Eil
    • Kim, Sangho
    • Betts, Robert
  • Conference:
  • Date: 2003


  • English

Media Info

  • Pagination: 18 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00962489
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Created Date: Sep 2 2003 12:00AM