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Aiming at the common problem of computational efficiency bottleneck in pedestrian simulation technology for large-scale crowd scenarios, a method for task division and parallel computing of pedestrian simulation in urban rail transit stations based on networked operation is proposed. This method adopts a field-based pedestrian simulation model and combines the structural characteristics of the rail transit network to design a simulation computing task division strategy based on the greedy algorithm, evenly distributing the network-level pedestrian simulation computing tasks to multiple threads to achieve parallel computing of large-scale pedestrian flow simulation. The results show that the single simulation step speedup ratio of the proposed method can reach 2.5, and the multi-simulation step speedup ratio can reach 4.5, effectively improving the computational efficiency of pedestrian simulation in urban rail transit systems under networked operation conditions.
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Basic Information:
DOI：10.13291/j.cnki.djdxac.2026.02.004
China Classification Code:U239.5
Citation Information:
[1]XIN Chao,ZHANG Beichen,WU Zanyang ,et al.A Parallel Computing Method of Pedestrian Simulation in Urban Rail Transit Network Operation[J].Journal of Dalian Jiaotong University,2026,47(02):31-37.DOI:10.13291/j.cnki.djdxac.2026.02.004.
Fund Information:
国家自然科学基金重点项目(52131203)
2024-12-16
2024
2025-02-06
2025-02-26
2025
1
2026-04-11
2026-04-11
2026-04-11