The framework of a traffic prediction model that could eliminate noise caused by random travel conditions is investigated. This model also can quantitatively calculate the influence of special factors. The framework combined several artificial intelligence technologies, such as wavelet transform, neural network, and fuzzy logic. The wavelet denoising method is emphasized and analyzed.


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    Title :

    Fuzzy-Neural Network Traffic Prediction Framework with Wavelet Decomposition


    Additional title:

    Transportation Research Record


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


    Publication date :

    2003-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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