Transportation is crucial to the function of any city, and the development of intelligent transportation is a critical part of advancing smart city initiatives. By leveraging new generation technologies such as big data, artificial intelligence, and the Internet of Things, intelligent transportation systems are able to perceive, connect, analyze, predict, and control more effectively. This leads to better utilization of transportation infrastructure, increased efficiency and management of transportation systems, and stronger support for sustainable economic development and smooth public travel. Intelligent transportation has become a key focus of transportation construction nationwide, and as new technologies such as big data, cloud computing, artificial intelligence, the Internet of Things, and 5G continue to advance, the field of intelligent transportation is entering an era of efficient integration and development.
The International Conference on Intelligent Transportation Engineering (ICITE) aims to discuss the future development trends of intelligent transportation, including traffic safety, vehicle-to-vehicle communication, vehicle-road coordination, and autonomous driving. The conference also seeks to build on past experiences, inspire new ideas, and explore future directions for the field. Specific topics will include 6G cellular networks, networked autonomous driving cars, deep reinforcement learning, the Internet of Things, and autonomous driving prediction technology. ICITE will provide an international platform for researchers, engineers, and scientists to showcase their work, exchange ideas, establish academic viewpoints, and create business relationships and international cooperative partnerships..
The ICITE 2024 will be held in Xi'an, China during October 18-20, 2024 and is sponsored by Xidian University, China; hosted by School of Telecommunicatios Engineering, Xidian University. Attendees will have the opportunity to participate in discussions, establish connections, and contribute to the ongoing development of intelligent transportation engineering. Manuscript submissions are welcome.
交通是城市的脉络,智慧交通的建设是推动智慧城市落地的重要环节。基于大数据、人工智能、物联网等新一代信息技术的智慧交通系统,具备更强的感知、互联、分析、预测、控制等能力,以充分发挥交通基础设施效能、提升交通系统运行效率和管理水平,为通畅的公众出行和可持续的经济发展提供有力支持。作为建设交通强国的重要内容,智能交通成为各地推进交通建设的重点。随着大数据、云计算、人工智能、物联网、5G等新技术不断创新和应用,智能交通进入了由“新”到“兴”高效融合发展的新时代。
第九届智能交通工程国际会议就城市智能交通、交通安全、车联网、车路协同与自动驾驶等智能交通领域研讨未来的发展趋势以及总结过往经验,启发新的灵感,探讨今后的发展方向。本次会议聚焦6G蜂窝、联网自动驾驶汽车、深度强化学习、物联网、自动驾驶预测技术等热点话题,为世界各地的研究学者、工程师和科学家提供一个智能交通工程等相关领域的技术进步展示和研究成果发布交流的国际会议平台,让参会人员能交流最新研究成果,探讨学术观点,建立商务关系,发展国际合作伙伴,实现科学及产业成果融合交流、协同进步的目标。
本届会议由西安电子科技大学主办,西安电子科技大学通信工程学院承办。
Prof. Guoqiang Mao | 毛国强教授 IEEE Fellow,IET Fellow Xidian University, China |
Prof. Feiyue Wang | 王飞跃教授 Fellow of IEEE Chinese Academy of Sciences, China |
Prof. Miguel Ángel Sotelo Fellow of IEEE University of Alcalá, Spain |
Prof. Jinhu Lü | 吕金虎教授 Fellow of IEEE Beihang University, China |
Prof. Kun Yang | 杨鲲教授 IEEE, IET Fellow, 欧洲科学院院士 University of Essex, UK |
Prof. Der-Horng Lee 新加坡工程院 院士 National University of Singapore, Singapore |
Prof. Li Li | 李力教授 Fellow of IEEE Tsinghua University, China |
Dr. Huaqun Guo Institute for Infocomm Research, Singapore |
Prof. Qinyu Zhang | 张钦宇教授 电子与信息工程学院 院长 Harbin Institute of Technology, Shenzhen, China |
Prof. Xiaojing Wang | 王笑京教授 Research Institute of Highway Ministry of Transport, China |
Prof. Monteiro Figueira University Lusofona, Portugal |
Prof. Denis GILLET École Polytechnique Fédérale de Lausanne (EPFL), Switzerland |
Prof. Wanjing Ma | 马万经教授 Tongji University, China |
Prof. Mai Xu | 徐迈教授 Beihang University, China |
Prof. Helai Huang | 黄合来教授 Central South University, China |