Characteristics of Passenger Stagnation Behavior Spectrum Based on Monitoring Video Data at Ticket Gate in Urban Rail Transit Stations
Journal Title: Urban Mass Transit - Year 2024, Vol 27, Issue 3
Abstract
[Objective] To scientifically set up the ticket gate, improve its actual passing capacity, and reduce the congestion risk caused by abnormal stagnation of the passengers, it is necessary to study the characteristics of passenger stagnation behavior spectrum at the ticket gate in urban rail transit stations. [Method] The video trajectory tracking technology is used to collect the passengers′ moving data from the monitor video at the ticket gate of the urban rail transit station. The passenger stagnation behaviors are determined as the characterization indicators. The passenger stagnation behavior spectrum at the ticket gate in urban rail transit station is established from the three elements i.e. types of the ticket gate, passenger flow and individual stagnation behaviors, and the quartile difference method is used to determine the upper and lower threshold values of the above indicators. The differences of the four characterization indicators of passenger stagnation behaviors are analyzed, including longitudinal and lateral distances from the starting point of passenger stagnation behavior to the center of the gate wing/gate rod, stagnation range, and stagnation time. The characteristics of the stagnation behavior spectrum under different gate types and different passenger flow rate are fully explained and analyzed. [Result & Conclusion] Passengers tend to strand in front of the ticket gate, and the longitudinal distance from the stagnation starting point to the center of the gate wing/ gate rod is much longer than its lateral distance. When the passenger flow rate is larger than 5~10 person times/min, the passenger stagnation range fluctuates the greatest. As the passenger flow increases, the available space for passengers, the stagnation range and the stagnation time decrease.
Authors and Affiliations
Qi SHI, Yong FANG, Hua HU, Zhigang LIU, Wanxu WEI
Keywords
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- EP ID EP732801
- DOI 10.16037/j.1007-869x.2024.03.027
- Views 57
- Downloads 0
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