Passenger Distribution and Waiting Position Selection Model on Metro Station Platform
- DOI
- 10.2991/i3csee-16.2016.7How to use a DOI?
- Keywords
- Metro station platform, waiting position selection, passenger distribution, dwell time
- Abstract
It is very important to obtain the distribution of passengers awaiting the train, which partly determines the number of passengers in each car and the train dwell time. The aim of this paper is to study and model the dynamic distribution of passengers on metro station platforms prior to a train’s arrival. First, in the paper we analyze and summarize the primary influencing factors on the position selection for passengers to await the train. Second, a position selection model for each passenger based on an utility function was developed. It is solved by using a successive distribution approach, which can express the waiting position selection process of each passenger before the arrival of a train. To improve the accuracy, an alternating fitting-approaching one by one method is used to calibrate the model. Finally, the model is validated by applying to an actual case. A field survey on Pinganli Station of Beijing Subway Line 4 was conducted. The distribution data during evening peak and off-peak hours was collected. The application result has shown that the fitting result during the evening peak is more effective than the off-peak. We conclude that this model has expressed well the waiting position selection process of each passenger before the arrival of a train, which proves the model has good effectiveness and applicability.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zongjie Liu AU - Dewei Li AU - Xiaoquan Wang PY - 2016/04 DA - 2016/04 TI - Passenger Distribution and Waiting Position Selection Model on Metro Station Platform BT - Proceedings of the 2016 International Conference on Civil, Structure and Environmental Engineering PB - Atlantis Press SP - 35 EP - 41 SN - 2352-5401 UR - https://doi.org/10.2991/i3csee-16.2016.7 DO - 10.2991/i3csee-16.2016.7 ID - Liu2016/04 ER -