Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station
Joint Authors
Tang, Tie-Qiao
Shao, Yi-Xiao
Chen, Liang
Shang, Hua-Yan
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Tang, Tie-Qiao& Shao, Yi-Xiao& Chen, Liang& Shang, Hua-Yan. 2017. Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1170684
Modern Language Association (MLA)
Tang, Tie-Qiao…[et al.]. Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station. Journal of Advanced Transportation No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1170684
American Medical Association (AMA)
Tang, Tie-Qiao& Shao, Yi-Xiao& Chen, Liang& Shang, Hua-Yan. Modeling Passengers’ Boarding Behavior at the Platform of High Speed Railway Station. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1170684
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170684