Collaborative Optimal Train Carriage Flexible Release Strategy and Passenger Flow Control Strategy for the Metro System
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| Publicado en: | Journal of Advanced Transportation vol. 2025, no. 1 (2025) |
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| Autor principal: | |
| Otros Autores: | , , , |
| Publicado: |
John Wiley & Sons, Inc.
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| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 024 | 7 | |a 10.1155/atr/9971176 |2 doi | |
| 035 | |a 3271802252 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 164028 |2 nlm | ||
| 100 | 1 | |a Zhong, Jinyang |u School of Transportation and Logistics, , Southwest Jiaotong University, , Chengdu, , China, <url href="http://swjtu.edu.cn">swjtu.edu.cn</url> | |
| 245 | 1 | |a Collaborative Optimal Train Carriage Flexible Release Strategy and Passenger Flow Control Strategy for the Metro System | |
| 260 | |b John Wiley & Sons, Inc. |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a In the oversaturated metro system, the mismatch between supply and demand leads to unequal allocation of train capacity at different stations, resulting in a transportation inequity issue. This paper proposes a collaborative optimization method to use train carriage flexible release strategy and passenger flow control strategy, which is described as a mixed‐integer nonlinear programming (MINLP) model considering the trade‐off between equity and efficiency. To solve this model, it is reformulated into a mixed‐integer linear programming (MILP) model, which is solved by the GUROBI solver. An efficient variable neighborhood search algorithm is then proposed to find a high‐quality solution to the proposed problem. Finally, two sets of numerical experiments, including a small‐scale case and a real‐world case of Chengdu metro system, are conducted to verify the proposed model. The experimental results show that the train release scheme and passenger flow control scheme generated by our proposed method can perform well on the trade‐off between equity and efficiency. | |
| 653 | |a Linear programming | ||
| 653 | |a Integer programming | ||
| 653 | |a Collaboration | ||
| 653 | |a Optimization | ||
| 653 | |a Passengers | ||
| 653 | |a Railway stations | ||
| 653 | |a Search algorithms | ||
| 653 | |a Travel | ||
| 653 | |a Quality of service | ||
| 653 | |a Flow control | ||
| 653 | |a Supply & demand | ||
| 653 | |a Nonlinear programming | ||
| 653 | |a Literature reviews | ||
| 653 | |a Algorithms | ||
| 653 | |a Energy consumption | ||
| 653 | |a Efficiency | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Huang, Hao |u School of Transportation and Logistics, , Southwest Jiaotong University, , Chengdu, , China, <url href="http://swjtu.edu.cn">swjtu.edu.cn</url> | |
| 700 | 1 | |a Pan, Jinyi |u Institute for Transport Studies, , University of Leeds, , Leeds, , UK, <url href="http://leeds.ac.uk">leeds.ac.uk</url> | |
| 700 | 1 | |a Liu, Lan |u School of Transportation and Logistics, , Southwest Jiaotong University, , Chengdu, , China, <url href="http://swjtu.edu.cn">swjtu.edu.cn</url> | |
| 700 | 1 | |a Shi, Yibo |u School of Transportation and Logistics, , Southwest Jiaotong University, , Chengdu, , China, <url href="http://swjtu.edu.cn">swjtu.edu.cn</url> | |
| 773 | 0 | |t Journal of Advanced Transportation |g vol. 2025, no. 1 (2025) | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3271802252/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3271802252/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3271802252/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |