DocumentCode :
1941135
Title :
Energy efficient driving strategy for trains in MRT systems
Author :
Gu, Qing ; Cao, Fang ; Tang, Tao
Author_Institution :
State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
fYear :
2012
fDate :
16-19 Sept. 2012
Firstpage :
427
Lastpage :
432
Abstract :
This paper focus on energy efficient driving strategy for MRT trains. In MRT systems, Automatic Train Operation (ATO) has been widely used. The calculation of a reference trajectory seems more important, since it could improve the performance of ATO. The operation demands for MRT trains are different from freight trains, such as energy saving demand and the characteristic of traction. In this paper, based on the characteristic of traction and some results got by the former researchers, a new energy efficient strategy model is proposed by using nonlinear programming method. It is the first time to combine the analytical and numerical method together in this area. By applying the new method, it is unnecessary to pre-given any key value. Moreover, since it is easy to solve, it could be used in real-time operation adjustment. The feasibility and effectiveness are verified through simulation. Compared the simulation results with the actual operating data, our new method are efficient on energy saving with the guarantee of punctuality.
Keywords :
nonlinear programming; rapid transit systems; ATO; MRT system; MRT trains; automatic train operation; energy efficient driving strategy; energy efficient strategy; energy saving demand; nonlinear programming; reference trajectory; traction; Acceleration; Energy consumption; Energy efficiency; Force; Mathematical model; Optimal control; Resistance; ATO (Automatic Train Operation); MRT system; energy efficient driving strategy; real-time; real-time operation adjustment; train speed trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
2153-0009
Print_ISBN :
978-1-4673-3064-0
Electronic_ISBN :
2153-0009
Type :
conf
DOI :
10.1109/ITSC.2012.6338732
Filename :
6338732
Link To Document :
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