The VTI National Transport Library Catalogue

Normal view MARC view

Fuzzy-neural network traffic prediction framework with wavelet decomposition Xiao, Heng et al

By: Publication details: Transportation Research Record, 2003Description: nr 1836, s. 16-20Subject(s): Bibl.nr: VTI P8169:2003 Ref ; VTI P8167Location: 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.
Item type: Reports, conferences, monographs
Holdings
Current library Call number Status Date due Barcode
Statens väg- och transportforskningsinstitut Available

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.

Powered by Koha