Tracking interval control for urban rail trains based on safe reinforcement learning

In order to solve the problem of controlling the interval between trains in the new train control system, which aims to ensure the safe operation of trains and improve traffic density, the process of managing train speed is treated as a decision-making process. The utilization of Safe Reinforcement...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 137; p. 109226
Main Authors:	Lin, Junting, Qiu, Xiaohui, Li, Maolin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2024
Subjects:	Augmented Lagrange method Deep deterministic policy gradient algorithm Interval train tracking New train control system Safe reinforcement learning Augmented Lagrange method New train control system Safe reinforcement learning Deep deterministic policy gradient algorithm Interval train tracking
ISSN:	0952-1976
Online Access:	Get full text
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