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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    Titel :

    Fuzzy-Neural Network Traffic Prediction Framework with Wavelet Decomposition


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


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


    Erscheinungsdatum :

    01.01.2003




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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