Simulation and optimization of inbound passenger flow line in large-scale railway station

Xu Liu; Huiling Fu

doi:10.1117/12.2683895

14 June 2023 Simulation and optimization of inbound passenger flow line in large-scale railway station

Xu Liu, Huiling Fu

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127082A (2023) https://doi.org/10.1117/12.2683895
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

Confronted with fast-paced technological progress and surging travel needs, some large-scale railway passenger stations now have fallen short of passengers' demands for comfortable trips due to their complicated passenger inbound process, circuitous inbound routes, and serious passenger traffic congestion. Taking Zhengzhou East Railway Station, a large-scale passenger transport hub in China, as the case study, this paper first elaborates on the construction of the simulation model based on Anylogic for reproducing inbound passenger flow lines thereof. Next, problems existing in the current passenger flow organization are analyzed using the average inbound time of passengers from each entrance and the average queue length for each kind of passenger service equipment as evaluation indexes. And then the optimized joint measures for different operational issues including four universal flow line adjustment methods are proposed, namely, reducing flow line density, increasing flow velocity, eliminating flow line bottleneck and relieving flow line crossing. Flow line simulation experiments herein have verified the rationality and effectiveness of the foregoing optimization measures for flow line organization of large-scale railway passenger stations.

Citation Download Citation

Xu Liu and Huiling Fu "Simulation and optimization of inbound passenger flow line in large-scale railway station", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127082A (14 June 2023); https://doi.org/10.1117/12.2683895

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