关键词: 交通工程, 定制公交, 出行意愿, 小波神经网络, BP神经网络

Abstract: In the face of the increasingly diverse needs of people travel, more and more customized public transport appears in the peoples life. Before planning a new type of public transport which means to provide the customized travel services for target passengers, it is necessary to predict the target passengers travel intentions. Considering the complexity of the influence factors of travel intention, a predict method based on wavelet neural network was proposed. First of all, according to the survey of passengers travel intention, the factors affecting the target passengers travel intention were analyzed; and then the neural network model was constructed.Finally, the forecast was verified and implemented by using MATLAB. In order to improve the training effect of the network, the self-adaptive method was used to determine the networks learning rate and the number of hidden layer nodes.The results show that the wavelet neural network has good applicability for the prediction of target passengers travel intention of the customized public transport, and has better prediction accuracy than the traditional BP neural network.

Key words: traffic engineering, customized public transport;travel intention, wavelet neural network, BP neural network