关键词: 交通工程, 城市交通, 客流清分, 神经网络, 轨道交通

Abstract: The essence of fare clearing is the distribution problem of passenger flow in different lines. Thus, a kind of passenger clearing model for rail transit based on BP neural network was proposed, with the full consideration of passenger travel route choice on the basis of multi-factor.The multiple factors that influenced route choice of passengers were route choice were divided into quantified and uncertain factors. By training the inhibitory coefficient and the excitation coefficient of the sample, the results were transmitted to the output layer to output by combining with the transformation function.Compared with the traditional model, the proposed model was more consistent with the multi-factor psychology of passenger travel choice. Finally, by comparing the actual investigation of passenger flow and Logit model, it showed that without the interference of other factors, the proposed method can realize the passenger clearing in different lines well.

Key words: traffic engineering, urban traffic, passenger clearing, neural networks, railway transportation