The paper establishes the speed guidance model of urban expressway based on meso-simulation traffic flow model, which can provide the role of speed control and short-term traffic prediction according to the real-time severe weather. And the model regards gross vehicle travel time as the objective function and the weather condition as influence factors to optimize the design of model and be implemented by C++. Then, it simulates and analyses the results based on the east line of the southern section of Shanghai North-South Elevated road. Simulation result shows that both speed variance and speed mean square error decrease remarkably. The speed guidance control reduces the overall difference of speed of the traffic flow that can improve traffic safety and the model is effective.


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    Titel :

    Speed Guidance Model of Urban Expressways Based on a Meso-Traffic Simulation Model under Severe Weather


    Beteiligte:
    Zhang, Liyan (Autor:in) / Ma, Jian (Autor:in)

    Kongress:

    Fifth International Conference on Transportation Engineering ; 2015 ; Dailan, China


    Erschienen in:

    ICTE 2015 ; 1752-1759


    Erscheinungsdatum :

    25.09.2015




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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