A practical model of dynamic forecasting of urban ring road traffic flow based on neural network is proposed in this paper, and the traffic flow data of Beijing Third-Ring-Road (BTRR) are explored to test the validity of the model. The experimental results show that the forecasting data obtained by the model correspond to the actual data basically.


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    Titel :

    A practical model of dynamic forecasting of urban ring road traffic flow


    Beteiligte:
    Wei Guan, (Autor:in) / Xiaolei Cai, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    378569 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Practical Model of Dynamic Forecasting of Urban Ring Road Traffic Flow

    Guan, W. / Cai, X. / IEEE | British Library Conference Proceedings | 2005



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