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Journal of Advanced Transportation
Volume 2017, Article ID 4073583, 11 pages
Research Article

Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station

1School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beihang University, Beijing 100191, China
2MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
3Information College, Capital University of Economics and Business, Beijing 100070, China

Correspondence should be addressed to Tie-Qiao Tang; nc.ude.aaub@gnatoaiqeit

Received 27 May 2017; Revised 28 August 2017; Accepted 2 October 2017; Published 31 October 2017

Academic Editor: Zhi-Chun Li

Copyright © 2017 Tie-Qiao Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Modeling passengers’ motion at high speed railway (HSR) station has been a hot topic in the field of pedestrian flow theory. However, little effort has been made to explore the passengers’ boarding behaviors at the platform of HSR station. This study proposes a cellular automaton (CA) model to study the passengers’ boarding behavior at the platform of HSR station. Some numerical tests are conducted to explore the passengers’ movements and the complex traffic phenomena (e.g., each passenger’s trajectory, congestion, and travel time) which occur during the boarding process. The numerical results illustrate that the passengers’ inflow rate and entrance choice behavior have significant impacts on the boarding efficiency. These results can help managers to understand the passengers’ boarding behavior and to improve the boarding efficiency.