Passenger Flow Prediction Model of Intercity Railway Based on G-BP Network

  • Hai-lian LiEmail author
  • Meng-kai Lin
  • Qi-cai Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 617)


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.


Passenger traffic volume Prediction Grey theory BP neural network 



The authors would like to acknowledge the financial support provided by the National Natural Science Foundation of China (Grant No. 51868042); the Changjiang Scholars and Innovation Team Development Program of Ministry of Education (IRT_15R29); Youth Science Foundation of Gansu (17JR5RA087); Youth Science Foundation of Lanzhou Jiaotong University (2017016); Foundation of A Hundred Young Talents Training Program of Lanzhou Jiaotong University (2018103).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Key Laboratory of Road & Bridge and Underground Engineering of Gansu ProvinceLanzhou Jiaotong UniversityLanzhouChina
  2. 2.National and Provincial Joint Engineering Laboratory of Road & Bridge Disaster Prevention and ControlLanzhou Jiaotong UniversityLanzhouChina

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