Abstract
Inter-city railway as the city’s comprehensive transportation system, the development of urban industrial economy and the image of the overall improve greatly boost. However, scientific and reasonable forecast traffic is the focus on the study of the inter-city railway construction project, which aim is to obtain the characteristics and rules of passenger flow, planning area to provide comprehensive system for railway planning and the actual resources and foundation of real and reliable data. Based on the grey relational analysis method influence the traffic data and the relationship between influencing factors, choose the main influence factors of traffic influence factors of the BP neural network model is established. Finally combined Lanzhou to Zhongchuan Airport inter-city railway project to traffic prediction research and survey data, it is concluded that the influence factors of the BP neural network model has good predictability to the traffic.
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