The dynamic distribution simulation of passengers on subway platforms in complex scenarios
Purpose – It is significant for station passenger flow organization, platform equipment layout and train running optimization to master platform passenger distribution characteristics of urban rail transit stations. The purpose of this paper is to master the characteristics of platform passenger flo...
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| Format: | Article |
| Language: | English |
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Emerald Publishing
2025-05-01
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| Series: | Smart and Resilient Transportation |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/SRT-11-2024-0016/full/pdf |
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| _version_ | 1849725953860698112 |
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| author | Chenglin Yue Jiamin Du Zixuan Zhang Yuchen Zhang Jianyuan Guo Jie He |
| author_facet | Chenglin Yue Jiamin Du Zixuan Zhang Yuchen Zhang Jianyuan Guo Jie He |
| author_sort | Chenglin Yue |
| collection | DOAJ |
| description | Purpose – It is significant for station passenger flow organization, platform equipment layout and train running optimization to master platform passenger distribution characteristics of urban rail transit stations. The purpose of this paper is to master the characteristics of platform passenger flow distribution in urban rail transit stations and optimize the station passenger flow organization, platform equipment layout and train operation adjustment. Design/methodology/approach – The model considers two types of passengers, with and without luggage, as well as their door selection and microscopic movement behavior. In addition, it improves the traditional social force model by incorporating passenger state transitions under same-platform-transfer scenarios, considering the influence of static obstacles and dynamic queues on passenger movement direction. Findings – Based on this model, a dynamic simulation of platform passenger flow distribution was conducted using Beijingxi Railway Station as an example under same-platform-transfer scenarios, verifying the model’s effectiveness. Originality/value – Complex scenarios, such as carrying luggage and same-platform-transfers, bring difficulties to the analysis of passenger distribution on platforms. Therefore, this paper proposes a simulation model for the dynamic distribution of subway platform passengers, taking into account the scenarios of carrying luggage and same-platform-transfers. |
| format | Article |
| id | doaj-art-0cebf4e3cbbd4c4e8ee2aec3cbcc21cb |
| institution | DOAJ |
| issn | 2632-0495 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Smart and Resilient Transportation |
| spelling | doaj-art-0cebf4e3cbbd4c4e8ee2aec3cbcc21cb2025-08-20T03:10:21ZengEmerald PublishingSmart and Resilient Transportation2632-04952025-05-0171516210.1108/SRT-11-2024-0016The dynamic distribution simulation of passengers on subway platforms in complex scenariosChenglin Yue0Jiamin Du1Zixuan Zhang2Yuchen Zhang3Jianyuan Guo4Jie He5Technology Center, CRRC Corporation Limited, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaTechnology Center, CRRC Corporation Limited, Beijing, ChinaTechnology Center, CRRC Corporation Limited, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing, ChinaPurpose – It is significant for station passenger flow organization, platform equipment layout and train running optimization to master platform passenger distribution characteristics of urban rail transit stations. The purpose of this paper is to master the characteristics of platform passenger flow distribution in urban rail transit stations and optimize the station passenger flow organization, platform equipment layout and train operation adjustment. Design/methodology/approach – The model considers two types of passengers, with and without luggage, as well as their door selection and microscopic movement behavior. In addition, it improves the traditional social force model by incorporating passenger state transitions under same-platform-transfer scenarios, considering the influence of static obstacles and dynamic queues on passenger movement direction. Findings – Based on this model, a dynamic simulation of platform passenger flow distribution was conducted using Beijingxi Railway Station as an example under same-platform-transfer scenarios, verifying the model’s effectiveness. Originality/value – Complex scenarios, such as carrying luggage and same-platform-transfers, bring difficulties to the analysis of passenger distribution on platforms. Therefore, this paper proposes a simulation model for the dynamic distribution of subway platform passengers, taking into account the scenarios of carrying luggage and same-platform-transfers.https://www.emerald.com/insight/content/doi/10.1108/SRT-11-2024-0016/full/pdfUrban rail transitPlatform passengersDynamic distribution simulationDoor selectionSocial force model |
| spellingShingle | Chenglin Yue Jiamin Du Zixuan Zhang Yuchen Zhang Jianyuan Guo Jie He The dynamic distribution simulation of passengers on subway platforms in complex scenarios Smart and Resilient Transportation Urban rail transit Platform passengers Dynamic distribution simulation Door selection Social force model |
| title | The dynamic distribution simulation of passengers on subway platforms in complex scenarios |
| title_full | The dynamic distribution simulation of passengers on subway platforms in complex scenarios |
| title_fullStr | The dynamic distribution simulation of passengers on subway platforms in complex scenarios |
| title_full_unstemmed | The dynamic distribution simulation of passengers on subway platforms in complex scenarios |
| title_short | The dynamic distribution simulation of passengers on subway platforms in complex scenarios |
| title_sort | dynamic distribution simulation of passengers on subway platforms in complex scenarios |
| topic | Urban rail transit Platform passengers Dynamic distribution simulation Door selection Social force model |
| url | https://www.emerald.com/insight/content/doi/10.1108/SRT-11-2024-0016/full/pdf |
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