关键词: 遗传算法, 小波神经网络, 交通流预测

Abstract: For the highcomplexity, timevariation and probability of urban traffic flow, its realtime and exact prediction is critical to the research of intelligent traffic system, especially for the advanced traffic management system and advanced traveler information system. Based on the character of the traffic flow prediction, a GAWNN model is given based on the wavelet neural network with genetic algorithm. The genetic algorithm of natural evolving law for the gradient descendent algorithm in Wavelet Neural Network is partly substituted to preoptimize the connection weight and the extension scale of the wavelet neural network, and later optimize the parameters along single gradient vector. This method overcomes some drawback when there exists single gradient descendent algorithm, such as local minimum and oscillation. A shorttime traffic flow prediction simulation using the GAWNN prediction model demonstrates the validity of the model.

Key words: wavelet neural network, traffic flow prediction , genetic algorithm