IEEE智慧世界大会–智能交通系统分会场(STS 2024)

2024-08-02 15:30   山东  


NEWS

2024 IEEE智慧世界大会(IEEE Smart World Congress)

    IEEE智慧世界大会(IEEE Smart World Congress)是关于国际智能领域的交流会议。本次IEEE智慧世界大会将于2024年12月2-7日在斐济丹娜努岛举行,由智慧世界官方组委会与斐济大学共同组织承办,旨在为研究人员和工程师提供一个备受瞩目的前沿平台,以交流和探索网络、物理和人工智能等领域的最新进展和创新。基于本次大会,将承办智能交通系统国际研讨会(STS 2024),邀请国际知名专家学者做大会报告,欢迎在智能交通领域的科研人员、工程师、研究生参加!


NEWS

智能交通系统国际研讨会(STS2024)

      随着交通学科与人工智能、通信和计算机技术的快速融合,交通运输系统正在经历智能化、互联化和协作化的发展趋势。智能交通系统紧密围绕三维交通框架,探索智能交通系统中参与者、车辆、基础设施等要素之间的耦合规律和协同运行方式。它旨在使交通系统更安全、高效、舒适、经济、方便、低碳、环保。智能交通的主要发展领域包括交通大数据、人工智能、自动驾驶和路车协同技术,重点关注基于这些技术的道路交通系统感知集成、规划、设计和管理控制。此外,它还包括协作感知、数字孪生、智能计算以及适应道路-车辆协作发展的交通基础设施的智能运营和维护。

      本次研讨会旨在探讨智能交通系统领域的各种理论、方法、算法和应用。可能的主题包括但不限于:

▪  交通运输系统大数据

▪  道路车辆协作

▪  交通基础设施健康监测与时空数据挖掘

▪  自主驾驶

▪  交通系统数字孪生

▪  交通运输系统智能计算









重要时间








▪  研讨会论文提交时间:2024年8月20日

▪  会议日期:2024年12月2-7日









会议网站








https://www.ieee-smart-world.org/2024/workshops.php









会议地点








丹娜努岛,斐济









研讨会主席








杜博文 教授,北京航空航天大学,中国

陈军 教授,北京航空航天大学,中国

郑楠 教授,莫纳什大学,澳大利亚


NEWS

2024 IEEE Smart World Congress

  The IEEE Smart World Congress is an international conference for communication in the field of intelligence. The IEEE Smart World Congress will be held on the Denarau Island, Fiji from December 2 to 7, 2024, organized by the Official Organizing Committee of Smart World in collaboration with the University of Fiji, and aims to provide a high-profile cutting-edge platform for researchers and engineers. To communicate and explore the latest advances and innovations in the elegant integration of the networked, physical and social world with ubiquitous intelligence. Based on this conference, the International Workshop on Intelligent Transportation Systems (STS 2024) will be held. Internationally renowned experts and scholars will be invited to give lectures and lectures at the conference. Researchers, engineers, and graduate students in the field of intelligent transportation are welcome to attend!

NEWS

International Workshop on Smart Transportation System (STS 2024)

  As the rapid integration of transportation discipline with artificial intelligence, communication and computer technologies, the transportation system is experiencing trends towards intelligence, connectivity, and collaboration.  The intelligent transportation system closely revolves around the three-dimensional transportation framework, exploring the coupling rules and collaborative operation methods among elements such as participants, vehicles, and infrastructure in the intelligent transportation system.  It aims to make the transportation system safer, more efficient, comfortable, economical, convenient, low-carbon, and environmentally friendly.  The main development areas of smart transportation include traffic big data, artificial intelligence, autonomous driving, and road-vehicle collaboration technologies, focusing on road traffic system perception integration, planning, design, and management control based on these technologies.  Additionally, it encompasses the collaborative perception, digital twins, intelligent computing, and smart operation and maintenance of transportation infrastructure that adapts to the development of road-vehicle collaboration.

    This workshop aims to explore a variety of theories, methodologies, algorithms, and applications in the domains of smart transportation system.  Possible topics include but are not limited to:

▪  Big data of transportation system

▪  Road-vehicle collaboration

▪  Heath monitoring of transportation infrastructure and spatiotemporal data mining

▪  Autonomous driving

▪  Digital twin of transportation system

▪  Smart computing of transportation system









Important Dates








▪  Workshop paper submission time: August 20, 2024

▪  Conference Date: December 2 to 7, 2024









Conference Website








https://www.ieee-smart-world.org/2024/workshops.php









Conference Location








Denarau Island, Fiji









Workshop Chairs








Prof. Bowen Du, Beihang University, China

Prof. Jun Chen, Beihang University, China

Prof. Nan Zheng, Monash University, Australia


End



供稿、编辑 | 刘青凯

审核 | 杜博文、陈军、谭力豪

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