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 :
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