Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System
Optimizing to increase the utilization ratio of regenerative braking energy reduces energy consumption, and can be done without increasing the deviation of train running time in one circle. The latter entails that the train timetable is upheld, which guarantees that the demand for passenger transpor...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/3474020 |
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| _version_ | 1832553244513009664 |
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| author | Wenxin Li Qiyuan Peng Chao Wen Shengdong Li Xu Yan Xinyue Xu |
| author_facet | Wenxin Li Qiyuan Peng Chao Wen Shengdong Li Xu Yan Xinyue Xu |
| author_sort | Wenxin Li |
| collection | DOAJ |
| description | Optimizing to increase the utilization ratio of regenerative braking energy reduces energy consumption, and can be done without increasing the deviation of train running time in one circle. The latter entails that the train timetable is upheld, which guarantees that the demand for passenger transport services is met and the quality of services in the urban rail transit system is maintained. This study proposes a multi-objective optimization model for urban railways with timetable optimization to minimize the total energy consumption of trains while maximizing the quality of service. To this end, we apply the principles and ideas of calculus to reduce the power of the velocity in the train energy consumption model. This greatly simplifies the complexity of the optimization model. Then, considering the conflicting requirements of decision-makers, weight factors are added to the objective functions to reflect decision-makers’ preferences for energy-saving and the quality of service. We adopt the nondominated sorting genetic algorithm-II (NSGA-II) to solve the proposed model. A practical case study of the Yizhuang urban railway line in Beijing is conducted to verify the effectiveness of the proposed model and evaluate the advantages of the optimal energy saving timetable (OEST) in comparison to the optimal quality of service timetable (OQOST). The results showed that the OEST reduced total energy consumption by 8.72% but increased the deviation of trains running time in one circle by 728 s. The total energy consumption was reduced by 6.09%, but there was no increase in the deviation of train running time in one circle with the OQOST. |
| format | Article |
| id | doaj-art-1f5104d9b1fa46eaa4489c0d52f9029c |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-1f5104d9b1fa46eaa4489c0d52f9029c2025-02-03T05:54:27ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/34740203474020Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit SystemWenxin Li0Qiyuan Peng1Chao Wen2Shengdong Li3Xu Yan4Xinyue Xu5School of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation & Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaOptimizing to increase the utilization ratio of regenerative braking energy reduces energy consumption, and can be done without increasing the deviation of train running time in one circle. The latter entails that the train timetable is upheld, which guarantees that the demand for passenger transport services is met and the quality of services in the urban rail transit system is maintained. This study proposes a multi-objective optimization model for urban railways with timetable optimization to minimize the total energy consumption of trains while maximizing the quality of service. To this end, we apply the principles and ideas of calculus to reduce the power of the velocity in the train energy consumption model. This greatly simplifies the complexity of the optimization model. Then, considering the conflicting requirements of decision-makers, weight factors are added to the objective functions to reflect decision-makers’ preferences for energy-saving and the quality of service. We adopt the nondominated sorting genetic algorithm-II (NSGA-II) to solve the proposed model. A practical case study of the Yizhuang urban railway line in Beijing is conducted to verify the effectiveness of the proposed model and evaluate the advantages of the optimal energy saving timetable (OEST) in comparison to the optimal quality of service timetable (OQOST). The results showed that the OEST reduced total energy consumption by 8.72% but increased the deviation of trains running time in one circle by 728 s. The total energy consumption was reduced by 6.09%, but there was no increase in the deviation of train running time in one circle with the OQOST.http://dx.doi.org/10.1155/2020/3474020 |
| spellingShingle | Wenxin Li Qiyuan Peng Chao Wen Shengdong Li Xu Yan Xinyue Xu Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System Journal of Advanced Transportation |
| title | Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System |
| title_full | Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System |
| title_fullStr | Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System |
| title_full_unstemmed | Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System |
| title_short | Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System |
| title_sort | integrated optimization on energy saving and quality of service of urban rail transit system |
| url | http://dx.doi.org/10.1155/2020/3474020 |
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