En Route Congestion Prediction Method for Air Route Network Based on Spatiotemporal Graph Convolution Network and Attention

IF 4.3 3区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Intelligent Transportation Systems Magazine Pub Date : 2024-09-17 DOI:10.1109/mits.2024.3450953
Guiyi Li, Yuxiang Ouyang, Siyu Linlong
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来源期刊
IEEE Intelligent Transportation Systems Magazine
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.
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En Route Congestion Prediction Method for Air Route Network Based on Spatiotemporal Graph Convolution Network and Attention Coordinated Operation Strategy Design for Virtually Coupled Train Set: A Multiagent Reinforcement Learning Approach Distributed Automation System Lab at University of Naples Federico II [Its Research Lab] Calendar [Calendar] IEEE APP
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