Actuated signals are able to adjust phase intervals in a real-time manner, in response to the traffic conditions obtained from vehicle detectors. These adjustments are implemented through a set of pre-determined controller parameters, including the unit green extension. This paper develops a model based on cell transmission model (CTM) to optimize the unit green extension, explicitly considering the stochastic demand arrivals, which, from a disaggregated view, imposes significant impact on individual vehicle delay and thus influences the overall system performance. The vehicle actuation logic is mathematically formulated as a system of equalities and inequalities. Genetic algorithm is employed to solve the resulted mixed-integer problem and numerical examples are presented to generate optimal unit green extensions under various demand patterns.


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    Titel :

    The Optimal Unit Green Extension — Considering Different Demand Patterns



    Erschienen in:

    Applied Mechanics and Materials ; 409-410 ; 1357-1365


    Erscheinungsdatum :

    03.09.2013


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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