Traffic Surveillance by Wireless Sensor Networks: Final Report

This report describes the prototype design, development, analysis and performance of a traffic surveillance system that is based on wireless sensor networks. Vehicle classification and reidentification schemes for low-cost, low-power platforms with limited computation resources were developed and tested. Both acoustic and magnetic sensors were tested. A robust real-time vehicle detection algorithm for both sensors was developed, and the magnetic sensor was shown to be superior to the acoustic sensor. The detection accuracy was shown to be comparable to that of inductive loop detectors while also having a much higher configuration flexibility, thus allowing the wireless sensor network system to be scalable and deployable everywhere in the traffic networks.

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  • 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

    University of California, Berkeley

    Berkeley, CA  United States  94720-1720

    California Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814
  • Authors:
    • Cheung, Sing Yiu
    • Varaiya, Pravin
  • Publication Date: 2007-1


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 157p
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01046884
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: UCB-ITS-PRR-2007-4
  • Contract Numbers: TO 5301
  • Created Date: Mar 8 2007 4:29PM