A Particle Swarm Optimization-Based Online Optimization Approach for Virtual Coupling Trains With Communication Delay

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

IEEE Intelligent Transportation Systems Magazine Pub Date : 2023-11-01 DOI:10.1109/mits.2023.3293760

Yuxuan Guo, Xuan Pei, Xiaolin Luo, Hongjie Liu, T. Tang, Taogang Hou

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引用次数: 0

Abstract

Virtual coupling allows multiple trains to run synchronously in a virtually coupled formation via train-to-train (T2T) wireless communication. The distance between virtual coupling trains can be reduced greatly to improve the line capacity. However, the time delay in T2T communication cannot be avoided, and the delay may fluctuate due to the uncertainties in the train operation, which will negatively impact the virtual coupling trains. In this article, a particle swarm optimization (PSO)-based online optimization approach for virtual coupling that considers the nondeterministic delay in T2T communication is presented. The optimization objectives include energy consumption, ride comfort, operation speed, and the distance between trains. The PSO algorithm is adopted to solve the problem online so that the train can be controlled according to the optimized traction/braking acceleration. The simulation was conducted with data from the existing Beijing subway line, and the results show that the proposed method reduces the impact of nondeterministic delay on virtual coupling significantly. The speed error of the follower train is below 0.3 m/s, and the tracking distance error is below 0.8 m. Moreover, the requirements of real-time control and ride comfort are satisfied.

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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.