Title :
A Dynamic Traffic Forecast Using Hybrid Wavelet Network with an Adaptive Genetic Local Search
Author :
Cao, Kai ; Zhao, Mo
Author_Institution :
Shandong Univ. of Technol., Zhangdian
fDate :
Sept. 30 2007-Oct. 3 2007
Abstract :
The paper proposes a dynamic predictor using hybrid wavelet neural network, which use multiple types of mother wavelet in the network according to the feature of pattern change of predicted information instead of a single type. The predictor has function of parallel prediction. In addition, an adaptive genetic local search algorithm is employed to train effectively the network. A case study of traffic information forecasting using proposed wavelet neural network is demonstrated.
Keywords :
neural nets; search problems; traffic engineering computing; wavelet transforms; adaptive genetic local search; dynamic predictor; dynamic traffic forecast; hybrid wavelet neural network; parallel prediction; traffic information forecasting; Adaptive systems; Artificial neural networks; Feedforward neural networks; Function approximation; Genetics; Intelligent transportation systems; Neural networks; Signal processing algorithms; Space technology; Telecommunication traffic;
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1396-6
Electronic_ISBN :
978-1-4244-1396-6
DOI :
10.1109/ITSC.2007.4357671
