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Prediction and Analysis of Subway Passenger Flow Based on AnyLogic in the Context of Big Data

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

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  • Yingying Mei

    (Anhui Sanlian University)

Abstract

The model uses computer pedestrian simulation software as the platform and Hefei Tianzhu Road Metro Station as the research object. Using the pedestrian library in Anylogic, the passenger flow distribution of a subway station in a certain place is simulated, and the service level of the platform, the number of ticket gates and self-service ticket vending machines, and the layout of stairs are estimated. It can effectively provide technical support for urban rail transit planning.

Suggested Citation

  • Yingying Mei, 2024. "Prediction and Analysis of Subway Passenger Flow Based on AnyLogic in the Context of Big Data," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 479-488, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_49
    DOI: 10.2991/978-94-6463-256-9_49
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