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Wavelet network with genetic algorithm and its applications for traffic flow forecasting

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3 Author(s)
Licai Yang ; Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China ; Lei Jia ; Hong Wang

Real-time and accurate traffic flow forecasting is very important to the intelligent traffic guidance, control and management. According to the characteristics of traffic flow, this paper proposes a new model of traffic flow forecasting based on wavelet networks and the forecasting algorithm of comparable time intervals. The structures of wavelet networks are optimized with genetic algorithm. The experiment results show that this model is superior to the common BP neural networks in the aspects of flow forecasting precision and network convergence.

Published in:

Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on  (Volume:6 )

Date of Conference:

15-19 June 2004

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