| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 5 | |
| Section | Pedestrian Dynamics | |
| DOI | https://doi.org/10.1051/epjconf/202533404001 | |
| Published online | 12 September 2025 | |
https://doi.org/10.1051/epjconf/202533404001
Collaborated facility control method for subway station crowding Dangerous management
1 School of Transportation and Logistics, National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, People’s Republic of China
2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, People’s Republic of China
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 September 2025
Abstract
The model predictive control method is proposed. A spatio-temporal convolution prediction model is established to predict the crowded location of subway stations in advance. The simulation model was developed and effective facility management and control strategies are given in time according to the forecast results.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.