Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System
Joint Authors
Xu, Xinyue
Wen, Chao
Peng, Qiyuan
Li, Wenxin
Li, Shengdong
Yan, Xu
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-03
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Li, Wenxin& Peng, Qiyuan& Wen, Chao& Li, Shengdong& Yan, Xu& Xu, Xinyue. 2020. Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1175542
Modern Language Association (MLA)
Li, Wenxin…[et al.]. Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System. Journal of Advanced Transportation No. 2020 (2020), pp.1-22.
https://search.emarefa.net/detail/BIM-1175542
American Medical Association (AMA)
Li, Wenxin& Peng, Qiyuan& Wen, Chao& Li, Shengdong& Yan, Xu& Xu, Xinyue. Integrated Optimization on Energy Saving and Quality of Service of Urban Rail Transit System. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-22.
https://search.emarefa.net/detail/BIM-1175542
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175542