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Titlebook: Developments and Applications in SmartRail, Traffic, and Transportation Engineering; Proceedings of ICSTT Limin Jia,Said Easa,Yong Qin Conf

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书目名称Developments and Applications in SmartRail, Traffic, and Transportation Engineering
副标题Proceedings of ICSTT
编辑Limin Jia,Said Easa,Yong Qin
视频video
概述Presents new technologies, innovative solutions, and best practices on SmartRail, Traffic, and Transportation.Discusses outcomes of ICSTTE 2023 held in Changsha, China.Offers a reference resource for
丛书名称Lecture Notes in Electrical Engineering
图书封面Titlebook: Developments and Applications in SmartRail, Traffic, and Transportation Engineering; Proceedings of ICSTT Limin Jia,Said Easa,Yong Qin Conf
描述.This book is a collection of original peer-reviewed contributions from the 2023 International Conference on SmartRail, Traffic, and Transportation Engineering, jointly organized by Beijing Jiaotong University, China Electrotechnical Society, Chinese Institute of Electronics and Central South University. It was held on July 28-30, 2023 in Changsha, China. Topics covered includes SmartRail systems, autonomous vehicles, energy efficiency, sustainable transportation, big data in transportation, and machine learning. Speakers discussed innovative technologies and strategies to improve the efficiency, reliability, and safety of rail networks, while exploring the opportunities and challenges of integrating autonomous vehicles into existing transportation networks. It provides valuable insights into the latest developments and trends in transportation engineering and technology, with a focus on electrification and sustainable transportation.  It serves as a valuable resource for professionals, researchers, and students working in the field..
出版日期Conference proceedings 2024
关键词Smart Rail systems; Smart Highways; Autonomous Vehicles; Autonomous Transportation; Intelligent Transpor
版次1
doihttps://doi.org/10.1007/978-981-97-3682-9
isbn_softcover978-981-97-3684-3
isbn_ebook978-981-97-3682-9Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Benedikt Quarch,Clemens Engelhardttze River Delta region are divided into four levels. On this basis, the paper makes an accurate analysis of the shortcomings of Hangzhou in the process of building a transportation hub city under the background of Yangtze River Delta integration, and puts forward specific and operable methods.
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fuse B-spline data for detail area prediction. BGASTE is a continuous iterative process and can continuously calibrate the prediction functions based on the blocked time data and therefore predict the future trend based on the previous outcome.
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1876-1100 023 held in Changsha, China.Offers a reference resource for .This book is a collection of original peer-reviewed contributions from the 2023 International Conference on SmartRail, Traffic, and Transportation Engineering, jointly organized by Beijing Jiaotong University, China Electrotechnical Societ
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https://doi.org/10.1007/978-3-476-99361-8apply a networked multi-agent reinforcement learning framework. Furthermore, we add adaptation learning steps to allow the agents to learn quickly after the disruption event occurs. We demonstrate that our proposed method significantly improves the performance compared to the naïve MARL implementation and achieves close-to-optimal performance.
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Research and Exploration on Application of Intelligent Operation and Maintenance of Subwayive big data, Carry out safety early warning assessment and health diagnosis, and provide it to the maintenance personnel for targeted maintenance, improve and ensure the operation and maintenance management level, reduce the workload, reduce the life-cycle cost and operation risk, and prolong the service life of the train.
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https://doi.org/10.1007/978-3-8348-2227-7thod combining driving simulation and traffic simulation. Finally, four scenarios of the Guangzhou-Shenzhen Highway are verified by simulation experiments. This study holds promise for informing decision-making processes and enhancing the design and management of highway systems in the future.
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