Traffic Management Center Use of Incident Detection Algorithms: Findings of a Nationwide Survey

This paper presents a survey of traffic management centers (TMC), inquiring about the extent to which they use automatic incident detection (AID) algorithms as a decision support system in their daily activities and to what extent TMCs plan on integrating such algorithms in their activities. Intelligent detector systems, involving AID algorithms, were found to be infrequently used due to their poor predictive performance for large-scale deployment. Specific results of the survey are provided. 70 percent of respondents found their incident detection capacities insufficient; however, only 12.5 percent of respondents actually had an operational AID in place. Researchers provide some routes towards AID optimization and note that AID performance would be greatly improved by either manual or automatic calibration.

  • Availability:
  • Authors:
    • Williams, Billy M
    • Guin, Angshuman
  • Publication Date: 2007-6


  • English

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Filing Info

  • Accession Number: 01054557
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS
  • Created Date: Jun 18 2007 8:28PM