Fuzzy-neural network traffic prediction framework with wavelet decomposition.

Author(s)
Xiao, H. Sun, H. Ran, B. & Oh, Y.
Year
Abstract

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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Publication

Library number
C 32924 (In: C 32921 S [electronic version only]) /15 /72 / ITRD E828133
Source

Transportation Research Record. 2003. (1836) pp16-20 (5 Fig., 18 Ref.)

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.