IoT Thrust Seminar | UAV-Integrated Vehicular Networking: Communications and Computing for Intelligent Transportation Systems
Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Intelligent transportation systems (ITS) leverage advanced technologies to enhance traffic management, improve safety, and increase efficiency in modern transportation networks. Most recently, by integrating different types of UAVs/Drones, the evolving low-altitude ITS expand into aerial dimensions, enabling more air-ground collaborative applications. However, with wide-area and massive intelligent devices involved in low-altitude ITS, there raises increasing communication and computing demands. In this talk, I will mainly share our recent research on two topics, that is, UAV-enabled vehicular networking and UAV-integrated vehicular fog computing. Considering the deployment flexibility and the high channel quality of A2G links, UAV-enabled vehicular networking can effectively enhance the vehicular connectivity and improve the network throughput of vehicular data transmissions. Taking the vehicles as fog nodes, vehicular fog computing is a promising solution to reduce the computation latency of time-sensitive tasks. And the integration of UAVs can further bring more benefits in vehicular fog computing, where UAVs can behave as local coordinators, aerial task relays, and flexible fog nodes. Moreover, I will briefly touch upon some emerging and interesting topics on low-altitude ITS.
Dr. Rongqing Zhang received the B.S. and Ph.D. degrees (with honors) from Peking University, Beijing, China, in 2009 and 2014, respectively. From 2014 to 2018, he worked as a postdoctoral research fellow at Colorado State University, CO, USA. Since 2019, he has been an Associate Professor at Tongji University, Shanghai, China. His current research interests include vehicular communications and networking, UAV, and connected intelligence. He has authored and co-authored three monographs, two book chapters, and over 150 papers in refereed journals and conference proceedings. Dr. Zhang was the co-recipient of the 2017 First Prize in Natural Science, Ministry of Education of China, the 2023 First Prize in Natural Science, Chinese Association of Automation, and the 2023 First Prize in Natural Science, China Institute of Communications. He also received the Best Paper Awards at IEEE ITST’12, ICC’16, GLOBECOM’18, and ICC’19, and has been included in World’s Top 2% Scientists by Stanford University since 2021. Currently, he is serving as the secretary general of the Connected Intelligence Committee of Chinese Association of Automation, the Vice-Chair of the Information Services Committee of IEEE ComSoc Asian-Pacific Board, and an Associate Editor of IEEE Transactions on Vehicular Technology and IET Communications.