Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction
A decision support framework with four components is proposed for high-speed railway timetable rescheduling in case of speed restriction. The first module provides the speed restriction information. The capacity evaluation module is used to evaluate whether the capacity can fulfill the demand before...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2014/934369 |
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| _version_ | 1832556210029592576 |
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| author | Li Wang Wenting Mo Yong Qin Fei Dou Limin Jia |
| author_facet | Li Wang Wenting Mo Yong Qin Fei Dou Limin Jia |
| author_sort | Li Wang |
| collection | DOAJ |
| description | A decision support framework with four components is proposed for high-speed railway timetable rescheduling in case of speed restriction. The first module provides the speed restriction information. The capacity evaluation module is used to evaluate whether the capacity can fulfill the demand before rescheduling timetable based on deduction factor method. The bilayer rescheduling module is the key of the decision support framework. In the bilayer rescheduling module, the upper-layer objective is to make an optimal rerouting plan with selected rerouting actions. Given a specific rerouting plan, the lower-layer focuses on minimizing the total delay as well as the number of seriously impacted trains. The result assessment module is designed to invoke the rescheduling model iteratively with different settings. There are three prominent features of the framework, such as realized interaction with dispatchers, emphasized passengers’ satisfaction, and reduced computation complexity with a bilayer modeling approach. The proposed rescheduling model is simulated on the busiest part of Beijing to Shanghai high-speed railway in China. The case study shows the significance of rerouting strategy and utilization of the railway network capacity in case of speed restriction. |
| format | Article |
| id | doaj-art-a7dd89e83e174a3a9862a7aaf45ef7c2 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-a7dd89e83e174a3a9862a7aaf45ef7c22025-02-03T05:46:03ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/934369934369Optimization Based High-Speed Railway Train Rescheduling with Speed RestrictionLi Wang0Wenting Mo1Yong Qin2Fei Dou3Limin Jia4State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaIBM China Research Lab, 2F Diamond A, Zhong Guan Cun Software Park, Beijing 100193, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaA decision support framework with four components is proposed for high-speed railway timetable rescheduling in case of speed restriction. The first module provides the speed restriction information. The capacity evaluation module is used to evaluate whether the capacity can fulfill the demand before rescheduling timetable based on deduction factor method. The bilayer rescheduling module is the key of the decision support framework. In the bilayer rescheduling module, the upper-layer objective is to make an optimal rerouting plan with selected rerouting actions. Given a specific rerouting plan, the lower-layer focuses on minimizing the total delay as well as the number of seriously impacted trains. The result assessment module is designed to invoke the rescheduling model iteratively with different settings. There are three prominent features of the framework, such as realized interaction with dispatchers, emphasized passengers’ satisfaction, and reduced computation complexity with a bilayer modeling approach. The proposed rescheduling model is simulated on the busiest part of Beijing to Shanghai high-speed railway in China. The case study shows the significance of rerouting strategy and utilization of the railway network capacity in case of speed restriction.http://dx.doi.org/10.1155/2014/934369 |
| spellingShingle | Li Wang Wenting Mo Yong Qin Fei Dou Limin Jia Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction Discrete Dynamics in Nature and Society |
| title | Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction |
| title_full | Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction |
| title_fullStr | Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction |
| title_full_unstemmed | Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction |
| title_short | Optimization Based High-Speed Railway Train Rescheduling with Speed Restriction |
| title_sort | optimization based high speed railway train rescheduling with speed restriction |
| url | http://dx.doi.org/10.1155/2014/934369 |
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