An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level
For high-speed railway operations at the network level, unforeseen events that lead to operation interruptions are inevitable, which should be handled within a short period of time to reduce the influence of the events as much as possible. This paper introduces an integrated optimization method to d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/19/10695 |
| _version_ | 1797576262141607936 |
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| author | Wenqiang Zhao Leishan Zhou Bin Guo Yixiang Yue Chang Han Zeyu Wang Yuxin Mo |
| author_facet | Wenqiang Zhao Leishan Zhou Bin Guo Yixiang Yue Chang Han Zeyu Wang Yuxin Mo |
| author_sort | Wenqiang Zhao |
| collection | DOAJ |
| description | For high-speed railway operations at the network level, unforeseen events that lead to operation interruptions are inevitable, which should be handled within a short period of time to reduce the influence of the events as much as possible. This paper introduces an integrated optimization method to deal with rescheduling problems at the railway network level under emergencies, rescheduling the train timetable, and utilizing the train sets. train set A three-objective optimization model is proposed with the aim of minimizing additional operation costs, total delay, and the number of transfer passengers. Then, an algorithm based on NSGA-III is proposed to solve the model. Computational experiments on real data are conducted to show the adaptability of the model and algorithm. The average optimization rate of the three objectives is 12.12%, 14.12%, and 10.57%, indicating the effectiveness of the method. Moreover, more experiments on a railway network in China are being conducted to analyze which section and which time have the greatest impact on the railway network when emergencies occur. According to the experiment, the bottleneck section is section 15, and the bottleneck time is 11:00 am. In addition, the importance of all the depots is discussed, and depot II is selected as the most important depot. |
| first_indexed | 2024-03-10T21:49:48Z |
| format | Article |
| id | doaj.art-a799ca93aa5647bbb1481b0172baecc6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T21:49:48Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a799ca93aa5647bbb1481b0172baecc62023-11-19T14:02:54ZengMDPI AGApplied Sciences2076-34172023-09-0113191069510.3390/app131910695An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network LevelWenqiang Zhao0Leishan Zhou1Bin Guo2Yixiang Yue3Chang Han4Zeyu Wang5Yuxin Mo6The School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThe School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThe School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThe School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThe School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaInfrastructure Investment Co., Ltd., Beijing 100101, ChinaThe School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaFor high-speed railway operations at the network level, unforeseen events that lead to operation interruptions are inevitable, which should be handled within a short period of time to reduce the influence of the events as much as possible. This paper introduces an integrated optimization method to deal with rescheduling problems at the railway network level under emergencies, rescheduling the train timetable, and utilizing the train sets. train set A three-objective optimization model is proposed with the aim of minimizing additional operation costs, total delay, and the number of transfer passengers. Then, an algorithm based on NSGA-III is proposed to solve the model. Computational experiments on real data are conducted to show the adaptability of the model and algorithm. The average optimization rate of the three objectives is 12.12%, 14.12%, and 10.57%, indicating the effectiveness of the method. Moreover, more experiments on a railway network in China are being conducted to analyze which section and which time have the greatest impact on the railway network when emergencies occur. According to the experiment, the bottleneck section is section 15, and the bottleneck time is 11:00 am. In addition, the importance of all the depots is discussed, and depot II is selected as the most important depot.https://www.mdpi.com/2076-3417/13/19/10695high-speed railway networktrain reschedulingemergency managementintegrated optimization method |
| spellingShingle | Wenqiang Zhao Leishan Zhou Bin Guo Yixiang Yue Chang Han Zeyu Wang Yuxin Mo An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level Applied Sciences high-speed railway network train rescheduling emergency management integrated optimization method |
| title | An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level |
| title_full | An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level |
| title_fullStr | An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level |
| title_full_unstemmed | An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level |
| title_short | An Integrated Optimization Method of High-Speed Railway Rescheduling Problem at the Network Level |
| title_sort | integrated optimization method of high speed railway rescheduling problem at the network level |
| topic | high-speed railway network train rescheduling emergency management integrated optimization method |
| url | https://www.mdpi.com/2076-3417/13/19/10695 |
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