Coordinated Operation Strategy Design for Virtually Coupled Train Set: A Multiagent Reinforcement Learning Approach

IF 4.3 3区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Intelligent Transportation Systems Magazine Pub Date : 2024-09-10 DOI:10.1109/mits.2024.3449803

Hongjie Liu, Yinghui Lang, Xiaolin Luo, Tao Tang, Ming Chai

引用次数: 0

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虚拟耦合列车组的协调运行策略设计：多代理强化学习方法

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Intelligent Transportation Systems Magazine ENGINEERING, ELECTRICAL & ELECTRONIC-TRANSPORTATION SCIENCE & TECHNOLOGY

CiteScore

8.00

自引率

8.30%

发文量

147

期刊介绍： The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. In contrast to the highly academic publication of the IEEE Transactions on Intelligent Transportation Systems, the ITS Magazine focuses on providing needed information to all members of IEEE ITS society, serving as a dissemination vehicle for ITS Society members and the others to learn the state of the art development and progress on ITS research and applications. High quality tutorials, surveys, successful implementations, technology reviews, lessons learned, policy and societal impacts, and ITS educational issues are published as well. The ITS Magazine also serves as an ideal media communication vehicle between the governing body of ITS society and its membership and promotes ITS community development and growth.