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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    Title :

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


    Contributors:
    Zhu Zhong (author) / Yang Zhaosheng (author)


    Publication date :

    1999-01-01


    Size :

    251079 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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