Analysis on Alighting and Boarding Movement Laws in Subway Using Modified Social Force Model
DOI:
https://doi.org/10.17815/CD.2020.64Keywords:
multi agent, micro-simulation, alighting and boarding movement, subway station, social force modelAbstract
This paper presents a multi-agent simulator based on social force model to simulate each passenger’s boarding and alighting behavior both in a train and on a platform seamlessly. Passengers can be divided into three types: to board, alight and stay in train. They have different individual attributes and follow different walking rules. Due to the characteristics of subway environment and passengers' behavior in boarding and alighting, some adjustment and improvement were made to the basic social force model: (1) In some cases during the process of boarding and alighting, the driving force targeting to destination needs to be doubled, and the repulsion force between two agents needs to be reduced. (2) Passengers who stay in the train show quite different movement from the usual pedestrian. They usually want to remain still, unless they are in front of the door. To describe their behaviors, we introduced a tangent detour force. The scope of the interaction between agents is extended and some passengers out of the visual field also should be counted. (3) Divide the repulsive force between an agent and an obstacle into the frontal force and convex corner force. These two forces have different spheres of influence and calculation methods. The agents could exhibit reasonable intelligence and diversity during alighting and boarding.References
Thoreau, Roselle, et al. "Train design features affecting boarding and alighting of passengers." Journal of Advanced Transportation 50 (2017).
Holloway, C., et al. "Effect of vertical step height on boarding and alighting time of train passengers." Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail & Rapid Transit 230.4 (2016).
Fernandez, Rodrigo; Zegers, Pablo; Weber, Gustavo. "Platform height, door width and fare collection on public transport dwell time." Transportation research record vol. 2143, pp. 59-66 (2010).
Xenia Karekla, and Nick Tyler. "Reduced dwell times resulting from train–platform improvements: the costs and benefits of improving passenger accessibility to metro trains." Transportation Planning & Technology. vol. 35.5, pp. 525-543 (2012).
Zhang, Qi, B. Han, and D. Li. "Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations." Transportation Research Part C. vol. 16.5, pp. 635-649 (2008).
Tomomi Kamizuru , Tomoyuki Noguchi , Norio Tomii. "Dwell Time Estimation by Passenger Flow Simulation on a Station Platform based on a Multi-Agent Model." 6th International Conference on Railway Operations Modelling and Analysis - RailTokyo.pp:154 (2015).
Yamamura, Akiyoshi. "Dwell Time Analysis in Urban Railway Lines using Multi Agent Simulation. " (2012).
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Feng Chen, Yongxin Gao, Zijia Wang, Yan Liu
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to Collective Dynamics agree to publish their articles under the Creative Commons Attribution 4.0 license.
This license allows:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Authors retain copyright of their work. They are permitted and encouraged to post items submitted to Collective Dynamics on personal or institutional websites and repositories, prior to and after publication (while providing the bibliographic details of that publication).