¹School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China
²School of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou, China; Contemporary Business and Trade Research Center of Zhejiang Gongshang University, Hangzhou, China
³College of Foreign Languages, Zhejiang Gongshang University, Hangzhou, China

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Abstract—In this paper, taking Hangzhou Metro Line 1 Wulin Square Station for example, we dynamically optimize the opening number of the entrance ticket windows at the station based on Anylogic pedestrian library, and study the impact of some parameters e.g. the pedestrian arrival rate and the opening number of the ticket windows in peak and off-peak periods, etc., on the average queuing number and utilization rate of the ticket windows. The aim is to provide a favorable reference and decision support tools for planners, designers, and operators. The simulation results show that for the off-peak period, that is, when the pedestrian velocity reaches to 1500/hour, opening two ticket windows can achieve the best average queuing number and the utilization rate of the ticket windows, and at the peak period, i.e. the pedestrian velocity is about 2500/hour, opening four ticket windows is the best strategy.

Index Terms—urban subway, pedestrian simulation, dynamic optimization, AnyLogic, queuing

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Cite: Yedi Yang, Jin Li, Qunxin Zhao, "Study on Passenger Flow Simulation in Urban Subway Station Based on Anylogic," Journal of Software vol. 9, no. 1, pp. 140-146, 2014.