Plenary Lecture

Jie Chen, Academician of Chinese Academy of Engineering, Professor, Tongji University 



Karl Johansson, Professor, Kungliga Tekniska Högskolan

Karl Johansson,教授,瑞典皇家理工学院

Karl H. Johansson is Professor with the School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Sweden and Director of Digital Futures. He received MSc and PhD degrees from Lund University. He has held visiting positions at UC Berkeley, Caltech, NTU, HKUST Institute of Advanced Studies, and NTNU. His research interests are in networked control systems and cyber-physical systems with applications in transportation, energy, and automation networks. He is a member of the Swedish Research Council's Scientific Council for Natural Sciences and Engineering Sciences. He has served on the IEEE Control Systems Society Board of Governors, the IFAC Executive Board, and is currently Vice-President of the European Control Association. He has received several best paper awards and other distinctions from IEEE, IFAC, and ACM. He has been awarded Distinguished Professor with the Swedish Research Council and Wallenberg Scholar with the Knut and Alice Wallenberg Foundation. He has received the Future Research Leader Award from the Swedish Foundation for Strategic Research and the triennial Young Author Prize from IFAC. He is Fellow of the IEEE and the Royal Swedish Academy of Engineering Sciences, and he is IEEE Control Systems Society Distinguished Lecturer.


Traffic control using automated truck platoons: distributed sensing, actuation, and learning


While the long-term benefits of introducing connected and automated vehicles into road traffic are widely understood to be revolutionary, there is much debate about whether its early stages will cause an increase in congestion and issues related to  human-driven vehicles. Notwithstanding, connected vehicles acting as mobile sensors and actuators could enable traffic predictions and control at a scale never before possible, and thereby a much more efficient use of the available road infrastructure. In this talk, we will present how a new freight transport technology based on automated truck platoons can be the backbone for such a system. Some basic theoretical and experimental results on the control and coordination of truck platoons will be presented. How such platoons influence traffic flows by acting as a moving bottleneck will then be discussed together with traffic models suitable for designing novel traffic control systems. It will also be argued that these models are possible to learn automatically from data gathered by platoons acting as traffic flow sensors. Experiments show that relatively few connected vehicles are enough to mitigate stop-and-go waves and improve traffic conditions significantly.  The presentation will be based on joint work with Matthieu Barreau and Mladen Cicic.


Timothy Gordon, Professor, University of Lincoln, UK

Timothy Gordon,教授,英国林肯大学

Tim Gordon is Professor of Vehicle Control Engineering at the University of Lincoln and President of the International Association for Vehicle System Dynamics (IAVSD). He has a PhD in Theoretical Physics from the University of Cambridge and has pursued a career in control systems and control engineering, with primary interests in road vehicles. Previously he held a number of senior academic positions, including Professor of Mechanical Engineering at the University of Michigan (UM, Ann Arbor), and Research Professor at UM’s Transportation Research Institute. He was also Ford Professor at Loughborough University and has worked extensively with the automotive industry throughout his academic career. He is currently a visiting professor at Tongji University, Shanghai, and is Co-chair of the IEEE Technical Committee on Intelligent Vehicular Systems and Control. 


Flexible Vehicle Automation – Connecting Drivers to Intelligent Vehicles for Improved Comfort and Safety


To make a fully functional self-driving car means replicating the human driving process inside a computer. This includes aspects of human perception, reasoning, and situational awareness that have proved to be too challenging for the current generation of artificial intelligence. A more flexible approach to vehicle automation is therefore required, with special focus on shared control. In this talk, Professor Gordon presents a broad viewpoint of how new functionalities can be achieved by fusing together the best available attributes of human and vehicular intelligence. Three general areas of flexible automation are identified: shared control for mobility, cooperative active safety, and electronic support for driving enjoyment. A deeper analysis is then presented for a layered (hierarchical) optimal control approach to shared human-vehicle control in safety critical situations.


Devesh Upadhyay, Ford Motor Company, Technical Leader, US

Devesh Upadhyay,美国福特汽车公司,智能网联动力总成控制 首席专家

Hui Xie, Professor, Tianjin University, Director of the Committee of ITICE

谢辉,教授,天津大学,中国内燃机学会内燃动力智能技术分会 主任委员