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A fuzzy-based system for incident detection in urban street networks
Institution:Department of Civil and Environmental Engineering, College of Engineering, UAE University, Al-Ain, P.O. Box 17555, United Arab Emirates
Abstract: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 (
></figure>-sim) was developed. An integral component of such system is a microscopic simulator, <figure class=></figure>-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.<figure class=></figure>-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 <em>F</em>uzzy <em>L</em>ogic for incident detection at intersections (<figure class=></figure>-sim-fl). The <figure class=></figure>-sim-fl uses the detector data as well as other link properties in flagging detecting incidents.The <figure class=></figure>-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.</td>
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