This paper proposes a multi-objective optimal bus priority control to reduce emissions and the average transportation delays at the bus-first traffic intersections. First, taking into account the constraints on both the timing of traffic signals and the level of delay and the traffic efficiency of social vehicles, we develop a multi-objective double-layer model, which consists of an emission model and a model that is to minimize the average transportation delay at signalized intersections. Then, after setting parameter values based on a genetic algorithm for the constraints on the objective function, we get an improved traffic signal timing plan by solving the function of multi-objective double-layer model. Finally, we construct a traffic simulation platform to test the empirical results. The result shows that within 600 s of simulation time, the emissions at signalized intersections are reduced by 3.26%; the average transportation delay is reduced by 11.83%; energy consumption decreases by 3.10%; the average queue-length drops by 4.20%; and traffic volume increases by 7.17%. In sum, this new traffic signal timing plan improves the performance of current system in various aspects.


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    Titel :

    Transit Signal Priority Control for Emission and Average Delay


    Beteiligte:
    Yan, Zheng (Autor:in) / Yao, Enjian (Autor:in)

    Kongress:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Erschienen in:

    CICTP 2019 ; 2751-2762


    Erscheinungsdatum :

    2019-07-02




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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