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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    Title :

    Prediction of daily traffic volumes by using autoregressive models


    Contributors:
    Suzuki, Y. (author)


    Publication date :

    1999-01-01


    Size :

    464573 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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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