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

DOI

10.2991/978-94-6463-256-9_49How to use a DOI?

Keywords

Anylogic; Model; Pedestrian library

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.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yingying Mei
PY  - 2023
DA  - 2023/10/09
TI  - Prediction and Analysis of Subway Passenger Flow Based on AnyLogic in the Context of Big Data
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 479
EP  - 488
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_49
DO  - 10.2991/978-94-6463-256-9_49
ID  - Mei2023
ER  -