Multiscale wavelet support vector regression for traffic flow prediction

Authors:
Fan Wang;Guozhen Tan;Yu Fang
Affiliations:
Department of Computer Science and Engineering, Dalian University of Technology, Dalian, China;Department of Computer Science and Engineering, Dalian University of Technology, Dalian, China;School of Software, Dalian University of Technology, Dalian, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

Traffic flow is a fundamental measure in transportation. Accurate traffic flow prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. A novel multiscale wavelet support vector regression method (MW-SVR) is proposed for traffic flow prediction. Based on wavelet multiresolution analysis, a scaling kernel function with multiresolution characteristics is constructed, implements the combination of the wavelet technique with support vector regression. A variety of experiments are carried out. The experimental results demonstrate that the proposed approach with multiscale wavelet kernel provides more optimal performance than that with radial basis function kernel, and the feasibility of applying MW-SVR in traffic flow prediction.