The Chiba Police Headquarters Traffic Control Center has accumulated traffic information such as traffic flows, time occupancy, and travel times. In this paper we attempt to predict the average daily traffic volumes by employing autoregressive models to upgrade the functions of traffic control.


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    Titel :

    Prediction of daily traffic volumes by using autoregressive models


    Beteiligte:
    Suzuki, Y. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    464573 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Prediction of Daily Traffic Volumes by Using Autoregressive Models

    Suzuki, Y. / IEEE / Institute of Electrical Engineers of Japan et al. | British Library Conference Proceedings | 1999




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