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A Study on the Intelligent Optimization of Subway Security Check Space in the Context of Epidemic
2022 International Conference on Cloud Computing, Internet of Things, and Computer Applications, CICA 2022 ; 12303, 2022.
Article in English | Scopus | ID: covidwho-2019669
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. © 2022 SPIE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Cloud Computing, Internet of Things, and Computer Applications, CICA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Cloud Computing, Internet of Things, and Computer Applications, CICA 2022 Year: 2022 Document Type: Article