DocumentCode
154928
Title
An energy-efficient adjustment approach in subway systems
Author
Erchao Chen ; Xin Yang ; Yi Ding
Author_Institution
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
fYear
2014
fDate
8-11 Oct. 2014
Firstpage
2774
Lastpage
2779
Abstract
The delays of trains have serious impact on the efficiency of operation, and on the passenger satisfaction which reduces the quality of service. The quality of service needs to be enhanced and the energy saving is drawing more and more attentions. In this paper, we propose an energy-efficient adjustment approach to mitigate the delays of trains, and to decrease energy consumption, simultaneously. To reduce energy consumption, energy-efficient operation strategies are considered. We seek the best coasting point to decrease the tractive energy. And we optimize the overlapping time of accelerating phase and braking phase for contiguous trains to increase the utilization of regenerative braking energy. Finally, the simulation is presented to show the proposed approach. We illustrate that the current adjustment approach could result in unnecessary energy consumption. By contrast, our approach can observably mitigate the delays of trains, and provide better energy-efficient effect.
Keywords
genetic algorithms; railways; regenerative braking; accelerating phase; braking phase; coasting point; energy consumption reduction; energy saving; energy-efficient adjustment approach; energy-efficient operation strategies; overlapping time optimization; passenger satisfaction; quality-of-service reduction; regenerative braking energy; subway systems; tractive energy reduction; train delay mitigation; Acceleration; Delays; Energy consumption; Genetic algorithms; Linear programming; Optimization; Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location
Qingdao
Type
conf
DOI
10.1109/ITSC.2014.6958134
Filename
6958134
Link To Document