Energy-efficient operation by cooperative control among trains: A multi-agent reinforcement learning approach

With the ever-increasing operating mileage of urban rail transit systems, a large amount of energy is consumed for train operation, and the energy-saving for train operation has become an attractive topic in the research community in recent years. In order to minimize the net energy consumption (i.e...

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Bibliographic Details

Published in:	Control engineering practice Vol. 116; p. 104901
Main Authors:	Su, Shuai, Wang, Xuekai, Tang, Tao, Wang, Guang, Cao, Yuan
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2021
Subjects:	Cooperative control Energy saving Multi-agent reinforcement learning Regenerative energy Multi-agent reinforcement learning Energy saving Regenerative energy Cooperative control
ISSN:	0967-0661, 1873-6939
Online Access:	Get full text
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