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8 November 2023 Passengers’ waiting position selection model of subway platform based on user equilibrium
Jian Du, Weiming Liu, Liru Peng
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Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 129230Q (2023) https://doi.org/10.1117/12.3011420
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China
Abstract
The research on the distribution of passengers on the subway platform is the basis of platform traffic organization and design, which directly affects the train dwell time and density of carriages. First, the influencing factors of passengers' choice of waiting position are analyzed, in order that the attraction function of the waiting position is established. To be realistc, parameters of walking distance, the passengers’ number and queuing capacity are recalibrated, and other factors such as platform vision and rest seats is added. Secondly, the passengers’ waiting position selection model is proposed based on user equilibrium. Then, the dynamic allocation method is used to allocate the waiting position for passengers. Finally, the simulated annealing algorithm is used to calibrate the parameters of the attraction function. The proposed model is applied to the real-world data of a Guangzhou Metro station and effectively reflect passengers' behavior characteristics.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jian Du, Weiming Liu, and Liru Peng "Passengers’ waiting position selection model of subway platform based on user equilibrium", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 129230Q (8 November 2023); https://doi.org/10.1117/12.3011420
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KEYWORDS
Mathematical modeling
Error analysis
Calibration
Data modeling
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