A fuzzy-based system for incident detection in urban street networks

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67 Citations (Scopus)


Detecting incidents on urban streets or arterials using loop detector data is quite challenging. The pattern of the incident could be quite similar to non-incident cases as intersections get congested. This paper describes the development of a fuzzy logic for incident detection. An Integrated System for Incident Management ({A figure is presented}-sim) was developed. An integral component of such system is a microscopic simulator, {A figure is presented}-sim-s, an object-oriented model that allows for virtual detector installations at different locations, modeling different intersection layouts, traffic control types and timing, and link characteristics. {A figure is presented}-sim-s was utilized to generate various incident scenarios and extracting associated detectors' accumulative counts. A data clustering technique was utilized to consolidate the various incident scenarios into a single data set for the development of the Fuzzy Logic for incident detection at intersections ({A figure is presented}-sim-fl). The {A figure is presented}-sim-fl uses the detector data as well as other link properties in flagging detecting incidents. The {A figure is presented}-sim-fl can be used to indicate the possibility of an incident, a stalled vehicle, or a sort of traffic disturbance. The devised logic was validated using separate simulation-based incident scenarios.

Original languageEnglish
Pages (from-to)69-95
Number of pages27
JournalTransportation Research Part C: Emerging Technologies
Issue number2
Publication statusPublished - Apr 2007


  • Accident patterns
  • Calibration
  • Fuzzy logic
  • Incident detection
  • Intersections
  • Neurofuzzy logic
  • Real-time system
  • Simulation modeling
  • Validation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications


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