We present a distributed approach to traffic signal control, where the signal timing parameters at a given intersection are adjusted as functions of the local traffic condition and of the signal timing parameters at adjacent intersections. Thus, the signal timing parameters evolve dynamically using only local information to improve traffic flow. This distributed approach provides for a fault-tolerant, highly responsive traffic management system. The signal timing at an intersection is defined by three parameters: cycle time, phase split, and offset. We use fuzzy decision rules to adjust these three parameters based only on local information. The amount of change in the timing parameters during each cycle is limited to a small fraction of the current parameters to ensure smooth transition. We show the effectiveness of this method through simulation of the traffic flow in a network of controlled intersections.


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    Title :

    Distributed Traffic Signal Control Using Fuzzy Logic


    Contributors:
    S. Chiu (author)

    Publication date :

    1992


    Size :

    9 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English






    Distributed Traffic Signal Control Using Fuzzy Logic

    North American Fuzzy Information Processing Society / United States; National Aeronautics and Space Administration | British Library Conference Proceedings | 1992


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