In this paper, a traffic volume prediction model is formulated through Kalman filtering theory. The traffic volumes of the next time interval are forecasted with the detected data collected in Changchun, China, which shows that the prediction model has good performance in real-time prediction.


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    Titel :

    A real-time isoparametric traffic volume prediction model based on the Kalman filtering theory


    Beteiligte:
    Zhu Zhong (Autor:in) / Yang Zhaosheng (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    251079 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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