Prof. Guoping Tan, Hohai University, China
Title: Challenges and Practices of C-V2X Technologies
Abstract: Combined with the vision of C-V2X large-scale industrial application from 5GAA and other standardization organizations, this report introduces our relevant technological breakthroughs in this field. Taking the construction of a new generation of National Traffic Control Network (Changzhou) as an example, the challenges and problems faced by C-V2X technology in the practical application of vehicle-road cooperation system will be introduced. Finally, combined with the construction plan of intelligent networked vehicle laboratory of Jiangsu National Intelligent Commercial Vehicle Quality Supervision and Inspection Center, the construction concept and plan of relevant laboratory for experimental verification and product testing of vehicle-road cooperation system in the future are presented.
Experience:
Guoping Tan (S’06-M’09-SM’17) received the PhD degree in computer science from Saarland University, Germany, in 2009. He is currently a full Prof. with the college of computer and information engineering at Hohai University, Nanjing, China. He was a senior engineer in ZTE Corporation China from 2000 to 2003, where he was mainly engaged in R&D of wireless communication protocols for the Base Station of CDMA systems. From Sep.2003 to Aug. 2005, he was a PhD candidate with the National Mobile Communication Research Lab at Southeast University, Nanjing, China. From Sep.2005 to Apr.2009, he was a researcher in Telecommunications Laboratory, Saarland University, Germany under DAAD scholarship. He has served as a TPC member in IEEE ICC 2015-2021 and IEEE GLOBECOM 2016-2021. His current research interests mainly include wireless distributed machine learning and Internet of Vehicles. He is currently the director of the institute of communication and information systems, Hohai University, Nanjing, China.
Prof. Wei Shangguan, Beijing Jiaotong University, China
Title: The Technology and Application of CVIS and CAV Supported by Digital Transportation Infrastructure
Abstract: New impacts and problems to the integrated development of CVIS and CAV will be brought by the upgrading of traditional transportation infrastructure and the integration of new intelligent infrastructure construction. This report will focus on the new mixed traffic environment integrating CAV and digital transportation infrastructure, build a ubiquitous and interconnected multi-objective traffic perception network and multi-mode information transmission network, analyze the operation coupling mechanism of heterogeneous traffic agents, study the intelligent collaborative decision-making method of vehicle road groups, and break through the collaborative simulation of traffic agents and the rapid construction of test scenarios Virtual and real information fusion and other key technologies, introduce virtual space, data space and physical space, build a large-scale virtual and real interactive simulation test and verification platform, and realize the integrated and collaborative management and control of smart vehicles / roads in the CVIS. In response to the national major development strategy of the 14th five year plan, there is an urgent need to improve the top-level design, improve the corresponding laws and regulations, accelerate the construction of new infrastructure, concentrate resources to overcome the key technologies of vehicle road coordination, so as to build a test demonstration area, build a typical demonstration city of vehicle road coordination from point to surface, and finally achieve the ideal goal of comprehensive vehicle road coordinated development and application.
Experience:
ShangGuanWei, Professor, Doctoral tutor, Deputy director of Institute of Transportation Automation Science and Technology, School of Electronic and Information Engineering, Beijing Jiaotong University, Member of Intelligent Command and Dispatch Specialized Committee of Chinese Institute of Command and Control, Member of Intelligent Transportation Specialized Committee of China Association for Artificial Intelligence, Member of National Technical Committee on Metering and Testing for Satellite Navigation Applications, Member of Standardization and Inspection Specialized Committee of Zhongguancun Spatial Information Industry Technology Alliance, Chief Expert of Key Laboratory of Intelligent Operation of Civil Aviation Airport Group, Deputy Chief Editor (Chief Editor of Subject Area) of Journal of Beijing Jiaotong University, Member of Department of Interdisciplinary and Chairman of the field of rail transit automatic control of the 2019 World Transport Convention, The visiting scholar at University College London. He has engaged in research on traffic information engineering and control, intelligent transportation, vehicle-road collaborative and autonomous driving for a long time.
Prof. Chen Chen, Xidian University, China
Title: Computation Resource Allocation Using Mobile-Edge-Platooning-Cloud in the Internet of Vehicles
Abstract: As a core enabling technology of vehicular networks, Vehicular Edge Computing (VEC) relying upon infrastructures can process and analyze the application data taken place in proximity to the vehicles. This report will focus on the background and challenge of vehicular edge computing in practical transportation settings from the data, application, capacity and limitation of current VEC. Then we introduce a new edge cloud paradigm of VEC i.e., mobile edge platooning cloud (MEPC). Besides, we also introduce the contradiction between resource constraints and computing requirements when confronting with the computation offloading in the Internet of Vehicles (IoV). Considering the priority of the Delay-Sensitive Tasks (DSTs), preemptive scheduling is introduced to deal with the hybrid tasks, comprised of DSTs and Delay-Tolerant Tasks (DTTs). Then, we establish a computation offloading problem based on the collaborative EC-MEPC architecture by jointly optimizing the decision-making and resource allocation issue.
Experience:
He is currently a Professor with the Department of telecommunication in Xidian University, and a member of the The State Key Laboratory of Integrated Service Networks in Xidian University. He is also the Director of the Xi'an Key Laboratory of Mobile Edge Computing and Security, and the Director of the intelligent transportation research laboratory in Xidian University. He was a visiting professor at the department of EECS in the University of Tennessee and the department of CS in the University of California. He serves as General Chair, PC Chair, Workshop Chair or TPC Member of a number of conferences. He has authored/co-authored 2 books, over 130 scientific papers in international journals and conference proceedings. He has contributed to the development of 5 copyrighted software systems and invented over 100 patents. He is also a senior member of China Computer Federation (CCF) and China Institute of Communications (CIC).
Invited Speaker：
Prof. Hui Liu, Central South University, China
Title: Big Data Prediction Methods and Applications in Smart Cities
Abstract: The keynote talk will present the big data forecasting techniques for the key aspects (e.g., urban rail, environment, building energy, green grid, etc.) of smart cities, and explores three key areas that can be studied using big data prediction in the smart cities, such as grid energy, intelligent train systems and environmental health. Some new time series processing and forecasting strategies are provided. The big data prediction methods and applications proposed in this talk can provide some useful references for the development of intelligent traffic systems and smart cities.
Experience:
Liu Hui, born in 1983, male, Professor, doctoral supervisor, and vice dean of Faculty of Traffic & Transportation Engineering, Central South University. He is a World 2% Top Scientist and Elsevier China Highly Cited Scholar. He is awarded the top national young talents of China. He obtained double PhD degrees from Central South University in China and University of Rostock in Germany and Germany professorship certification. He leaded and completed the excellent youth fund of Ministry of Education and Research of Germany. He received one second prize of Natural Science Award of the Ministry of education and one national science and Technology Progress Award (innovation team). He applied for 12 international patents and authorized 72 national invention patents. He has been leading 1 national key R&D project and 3 national natural science Foundation of China. He published 6 English Monographs from Springer and Elsevier Press, 1 Chinese monograph of Science Press and 18 ESI Hot/Highly Cited papers as the first author.