The second part of the framework of a traffic prediction model proposed in a previous paper is presented. The model first eliminates the noise caused by random travel conditions by using a wavelet denoising method, the topic of the earlier paper. The model then quantitatively calculates the influence of special factors by using a fuzzy-neural network.


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    Titel :

    Special Factor Adjustment Model Using Fuzzy-Neural Network in Traffic Prediction


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Xiao, Heng (Autor:in) / Sun, Hongyu (Autor:in) / Ran, Bin (Autor:in)


    Erscheinungsdatum :

    01.01.2004




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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