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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
28.06.2023
DOI
https://doi.org/10.7307/ptt.v35i3.59
ISSUE
2023 (Vol 35), Issue 3
LICENSE
Copyright (c) 2024 Yimin Wang, Heng Yu, Yue Luo, Peiyu Qiu, Jiacheng Chen
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model

Authors:Yimin Wang, Heng Yu, Yue Luo, Peiyu Qiu, Jiacheng Chen

Abstract

To better utilise the service capacity of the limited facilities of a metro station, as well as ensure safety and transport efficiency during peak hours, a large passenger flow control plan is studied through theoretical analysis and numerical simulation. Firstly, by passenger data collection and data analysis, the characteristics of the inbound and outbound passenger flow of a T metro station are analysed. Secondly, AnyLogic evacuation simulation models for the T Station during peak hours, peak hours without/with passenger flow control are established based on real passenger flow data as well as the station structures and layouts by using the AnyLogic software. The results show that there are no obvious congestions in the station hall, and the travel delay is significantly reduced when effective passenger flow control measures are taken. By controlling the speed, direction and movement path of passengers, as well as adjusting the operation of escalators, entrances and automatic ticket-checking machines, passenger flow can become more orderly, transport efficiency can also be improved, and congestion in the station can be well mitigated.

Keywords:urban rail transit, metro station, passenger flow, simulation, control plan

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