NDLI: Energy-Efficient Operation of Single Train Based on the Control Strategy of ATO

Content Provider	IEEE Xplore Digital Library
Author	Shuqi Liu Fang Cao Jing Xun Yihui Wang
Copyright Year	2015
Abstract	Energy efficiency is paid more and more attention in urban rail transit systems. Optimization on Automatic Train Operation (ATO) is important to energy-efficient operation of trains. ATO generates the recommended speed curve based on the railway line parameters, the scheduled time table, and the vehicle conditions. The control strategy of ATO makes the train running along the recommended speed curve to meet the requirements on precision of train stopping, punctuality, energy-saving and riding comfort. The optimization of recommended speed curve in traditional research does not consider the influence of the control strategy of ATO. The energy consumption calculated by such a recommended speed curve and the practical curve of the train operation have a significant deviation. In this paper, a more accurate model of the train energy consumption is presented by considering the control strategy of ATO. Two modifications of Tabu Search (TS) algorithm, which are named as Acceleration Rate Decided Modification (ARDM) and Distance Decided Modification (DDM), are proposed to optimize train recommended speed curve based on the presented model. Case studies have been conducted based on Beijing Subway to illustrate that the proposed algorithm results in good performance with regards to energy saving. In addition, the computation time is within 1 s, which is short enough to be applied in the online control of trains.
Starting Page	2580
Ending Page	2586
File Size	428676
Page Count	7
File Format	PDF
ISSN	21530017
e-ISBN	9781467365963
DOI	10.1109/ITSC.2015.415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Acceleration Optimization Rails Force Public transportation Energy efficiency Tabu Search algorithm Recommended speed curve Energyefficient operation Control strategy of ATO
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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