An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow
In the rapidly changing multimodal transportation market, not only the obligation in providing train services but also the responsibility in helping other transportation modes to meet emergencies are instrumental for maximizing the generalized benefit of railway companies, leading to an increased ut...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/5964010 |
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| _version_ | 1832549223597342720 |
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| author | Junduo Zhao Haiying Li Lingyun Meng Jianrui Miao |
| author_facet | Junduo Zhao Haiying Li Lingyun Meng Jianrui Miao |
| author_sort | Junduo Zhao |
| collection | DOAJ |
| description | In the rapidly changing multimodal transportation market, not only the obligation in providing train services but also the responsibility in helping other transportation modes to meet emergencies are instrumental for maximizing the generalized benefit of railway companies, leading to an increased utilization. This paper proposes an optimization framework, which includes multiple dispatching measures of arranging residual seats, modifying stopping plans, and inserting additional trains, to design a rescheduling operation plan on a high-speed rail corridor to meet the passenger demand of unexpected large passenger flow (ULPF), which is generated from the disruption of other transportation modes. Considering the revenues of shifting passengers and the costs of the three dispatching measures as two objectives, we formulate a linear integer programming (LIP) model by employing a time-space network to obtain an optimization rescheduling operation plan. Several experiments based on the Beijing-Shanghai high-speed railway corridor are conducted to evaluate the effectiveness and efficiency of the proposed model. The experimental results demonstrate that the proposed model can be used to obtain a reasonable rescheduling operation plan for serving the passengers from ULPF within an acceptable calculation timeframe. |
| format | Article |
| id | doaj-art-32d092b732634ec6a8017b78bb79165c |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-32d092b732634ec6a8017b78bb79165c2025-02-03T06:11:52ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/5964010An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger FlowJunduo Zhao0Haiying Li1Lingyun Meng2Jianrui Miao3Frontiers Science Center for Smart High-Speed Railway SystemSchool of Traffic and TransportationFrontiers Science Center for Smart High-Speed Railway SystemState Key Laboratory of Rail Traffic Control and SafetyIn the rapidly changing multimodal transportation market, not only the obligation in providing train services but also the responsibility in helping other transportation modes to meet emergencies are instrumental for maximizing the generalized benefit of railway companies, leading to an increased utilization. This paper proposes an optimization framework, which includes multiple dispatching measures of arranging residual seats, modifying stopping plans, and inserting additional trains, to design a rescheduling operation plan on a high-speed rail corridor to meet the passenger demand of unexpected large passenger flow (ULPF), which is generated from the disruption of other transportation modes. Considering the revenues of shifting passengers and the costs of the three dispatching measures as two objectives, we formulate a linear integer programming (LIP) model by employing a time-space network to obtain an optimization rescheduling operation plan. Several experiments based on the Beijing-Shanghai high-speed railway corridor are conducted to evaluate the effectiveness and efficiency of the proposed model. The experimental results demonstrate that the proposed model can be used to obtain a reasonable rescheduling operation plan for serving the passengers from ULPF within an acceptable calculation timeframe.http://dx.doi.org/10.1155/2022/5964010 |
| spellingShingle | Junduo Zhao Haiying Li Lingyun Meng Jianrui Miao An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow Journal of Advanced Transportation |
| title | An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow |
| title_full | An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow |
| title_fullStr | An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow |
| title_full_unstemmed | An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow |
| title_short | An Optimization Method of High-Speed Railway Rescheduling to Meet Unexpected Large Passenger Flow |
| title_sort | optimization method of high speed railway rescheduling to meet unexpected large passenger flow |
| url | http://dx.doi.org/10.1155/2022/5964010 |
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