Oversaturated traffic flow is one of the important factors leading to traffic congestion. In this paper, we proposed an oversaturated traffic flow simulation model, which can analyze the status of traffic flow under oversaturated condition based on cellular automata model. We compared simulation result with field-study data in Nanjing, by confining the comparing error to the acceptable range which proves the effectiveness of the proposed model. Findings show that the proposed model can reproduce the lane starvation phenomenon when oversaturated traffic flow has been loaded. The model is expected to provide the theoretical basis for urban active signal control.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Modeling and Simulation of Oversaturated Traffic Flow Based on Cellular Automata


    Contributors:
    Ren, Gang (author) / Wang, Yi (author) / Chen, Jia-Jie (author) / Jiang, Hang (author)

    Conference:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Published in:

    CICTP 2017 ; 2697-2703


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Microscopic Simulation of Synchronized Flow in Oversaturated City Traffic

    Hermanns, Gerhard / Hemmerle, Peter / Rehborn, Hubert et al. | Transportation Research Record | 2019


    Cellular Automata for Traffic Flow Modeling

    S. Benjaafar / K. Dooley / W. Setyawan | NTIS | 1997


    Heterogeneous Traffic Flow Modeling and Simulation Using Cellular Automata

    Mathew, Tom V. / Gundaliya, Pradip / Dhingra, S. L. | ASCE | 2006


    Control Strategies for Oversaturated Traffic

    Lo, Hong K. | Online Contents | 2004


    Heterogeneous Traffic Flow Modeling and Simulation Using Cellular Automata

    Mathew, T. V. / Gundaliya, P. / Dhingra, S. L. et al. | British Library Conference Proceedings | 2005