This paper presented a dynamic road network traffic flow simulation model. This model first uses gravity-based O-D estimation method to calculate the travel demand matrix of different sub regions. Second, this paper constructs a road network model on the basis of complex network and link resistance model to connect different traffic sub-zones. In addition, on the assumption that reasonable people usually choose the shortest path with minimum link resistance as their travel path, a mapping algorithm from travel demand to volume of traffic flow is introduced in our model. On the basis of the discrete-event simulation method, a simulation prototype system on PC is implemented. Experimental results show that this simulation system can simulate the dynamic evolution of travel demand and traffic flow in real time way and the model is effective.


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    Titel :

    Using O-D estimation in dynamic road network traffic flow simulation


    Beteiligte:
    Yang, Liuqing (Autor:in) / Zong, Gang (Autor:in) / Liu, Yinghua (Autor:in)


    Erscheinungsdatum :

    01.06.2014


    Format / Umfang :

    866453 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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