A study on the intelligent optimization of subway security check space in the context of epidemic

Yingshan Wang; Mingyuan Li; Luofei Zhang

doi:10.1117/12.2642853

28 July 2022 A study on the intelligent optimization of subway security check space in the context of epidemic

Yingshan Wang, Mingyuan Li, Luofei Zhang

Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 1230318 (2022) https://doi.org/10.1117/12.2642853
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China

Abstract

As one of the main means of transportation for citizens in Wuhan, urban rail transit has assumed the dual responsibility of ensuring the travel needs of citizens and blocking the spread of the epidemic in the context of COVID-19. Taking the security check space of Wuhan subway Street entrance station as an example, the paper aims at putting forward the optimization strategy of security space design to solve the obstruction problem caused by the excessive flow of subway stations at present. The paper takes the COVID-19 prevention and control requirements in Wuhan into consideration, uses intelligent technology, combines the construction of social force model to conduct pedestrian simulation, and applies simulation variable analysis. The findings indicate that the optimization strategy of security space design effectively shortens the arrival time and effectively controls the flow of people. It is expected to provide some reference and research basis for the design and optimization of security inspection space of subway transportation system in the future.

Citation Download Citation

Yingshan Wang, Mingyuan Li, and Luofei Zhang "A study on the intelligent optimization of subway security check space in the context of epidemic", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 1230318 (28 July 2022); https://doi.org/10.1117/12.2642853

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