Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model
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 da...
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Format: | Article |
Language: | English |
Published: |
University of Zagreb, Faculty of Transport and Traffic Sciences
2023-06-01
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Series: | Promet (Zagreb) |
Subjects: | |
Online Access: | http://traffic2.fpz.hr/index.php/PROMTT/article/view/59 |
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author | Yimin Wang Heng Yu Yue Luo Peiyu Qiu Jiacheng Chen |
author_facet | Yimin Wang Heng Yu Yue Luo Peiyu Qiu Jiacheng Chen |
author_sort | Yimin Wang |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-13T02:53:12Z |
format | Article |
id | doaj.art-1dc6abd21aed454a9f8a63ee8c5f4bab |
institution | Directory Open Access Journal |
issn | 0353-5320 1848-4069 |
language | English |
last_indexed | 2024-03-13T02:53:12Z |
publishDate | 2023-06-01 |
publisher | University of Zagreb, Faculty of Transport and Traffic Sciences |
record_format | Article |
series | Promet (Zagreb) |
spelling | doaj.art-1dc6abd21aed454a9f8a63ee8c5f4bab2023-06-28T08:42:04ZengUniversity of Zagreb, Faculty of Transport and Traffic SciencesPromet (Zagreb)0353-53201848-40692023-06-0135342243359Research on Passenger Flow Control Plans for a Metro Station Based on Social Force ModelYimin Wang0Heng Yu1Yue Luo2Peiyu Qiu3Jiacheng Chen4School of Civil Engineering and Transportation, State Key Lab of Subtropical Building Science, South China University of TechnologySchool of Architecture and Civil Engineering, Chengdu UniversityShenzhen Urban Transport Planning Center Co. Ltd.Guangzhou Metro Group Co. Ltd.Guangzhou Metro Group Co. Ltd.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.http://traffic2.fpz.hr/index.php/PROMTT/article/view/59urban rail transitmetro stationpassenger flowsimulationcontrol plan |
spellingShingle | Yimin Wang Heng Yu Yue Luo Peiyu Qiu Jiacheng Chen Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model Promet (Zagreb) urban rail transit metro station passenger flow simulation control plan |
title | Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model |
title_full | Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model |
title_fullStr | Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model |
title_full_unstemmed | Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model |
title_short | Research on Passenger Flow Control Plans for a Metro Station Based on Social Force Model |
title_sort | research on passenger flow control plans for a metro station based on social force model |
topic | urban rail transit metro station passenger flow simulation control plan |
url | http://traffic2.fpz.hr/index.php/PROMTT/article/view/59 |
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