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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    Title :

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


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:
    Xiao, Heng (author) / Sun, Hongyu (author) / Ran, Bin (author)


    Publication date :

    2004-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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