Short-term traffic flow prediction is more and more important in intelligent traffic systems. This paper proposes a new traffic prediction model and algorithms based on it, at last we use the data of the Zizhu bridge in Beijing to verify our algorithms.


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    Titel :

    Short-Term Traffic Flow Prediction Based on Fuzzy Time Series


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Gao, Haijun (Autor:in) / Li, Lingxi (Autor:in) / Chen, Long (Autor:in) / Liu, Rui (Autor:in)

    Kongress:

    International Body Engineering Conference & Exhibition and Automotive & Transportation Technology Congress ; 2002



    Erscheinungsdatum :

    09.07.2002




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :


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