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Intelligent Vehicle Dynamics and Controls (IVDC): Moderator Summary

2 June 2020

Professor Fangwu (Mike) Ma moderated the IVDC FISITA Online Conference on Wednesday 20th May 2020 at 08:30 BST. The presenters were all Professors from the State Key Lab of Automotive Simulation and Control (ASCL) at Jilin University in China. During this FISITA Online Conference, the audience learned about driver behaviour identification, intelligent integrated vehicle control and personalised intelligent vehicle control; the integrated spacing policy, platoon kinematics and cooperative adaptive cruise control; and the technology of vehicle drifting dynamics and control, including drifting dynamics, drifting equilibria tracking control and simulation testing; as well as others.


Professor Bing Zhu presented Personalised Intelligent Vehicle Control with Driver Behaviour Identification. Zhu first introduced the analysis of driver behaviour composed of driver behaviour data-acquisition system, driver behaviour data acquisition, classification and identification of driver behaviour, then he introduced the latest research on personalised intelligent vehicle control including personalised integrated chassis control (PICC) and personalised adaptive cruise control (PACC). Integration of the intelligent vehicle control system with driver-behaviour identification is a topic of future research. In this research, the personalised intelligent vehicle control systems integrated with the driver-behaviour identification strategy was presented.

Professor Xinjie Zhang's topic was Cooperative Adaptive Cruise Control (CACC) Including Platoon Kinematics. In the speech, Zhang presented an in-depth analysis of integrated spacing policy, CACC with platoon kinematics, urban cases follow control, and simulation tests and evaluation. In his work, the critical speed of the integrated spacing policy is derived and the safety redundancies between CTH (constant time headway) and SD (safety distance) spacing policies are used to improve traffic efficiency and traffic flow stability. The platoon virtual centroid is defined to describe the platoon kinematics. The CACC upper control strategy including platoon kinematics is derived and the sliding mode controller for longitudinal acceleration allocation is designed. Urban cases are reduced into eight typical scenarios, and its simulation platform is developed for virtual test and evaluation. The proposed CACC strategy is foresighted and synchronic, reducing platoon response delay accumulation, and improving vehicle following safety and efficiency.

Vehicle Driving Dynamics and Control for Active Safety under Extreme Manoeuvre presented by Professor Ye Zhuang was the third in-depth presentation. The content includes the dynamics of drifting cars, SM (sliding mode) control and DP (dynamic positioning) control design for drifting tracking, simulation and discussion. Through Zhuang's research, we know that the conventional dynamics and control for drifting cars found clear theoretical base and could ensure the drifting car remains more stable, while its on-line efficiency needs improvement; the RL (reinforcement learning) control provides a novel method and better online computing efficiency, while robustness is not yet stable; and the nonlinear control methods for drifting could improve the car active safety performance, especially in extreme situations.

The IVDC FISITA Online Conference attracted a global audience of engineers, scientists, academics and executives from industry with interests in intelligent vehicles. 229 people from about 20 countries attended the live event with a further 52 watching on replay. Over 100 of the attendees remained right through into the last minutes of the 90-minute session. About 20% of the people viewing the conference were from Europe, 18% from North America (on replay), 60% from the APAC region and a small number were from countries in Africa and the Middle East. The webinar is available to view here. The presenters and the audience were able to communicate throughout the online conference with 15 technical questions received during the conference, and these will be answered in the following FISITA Spotlight posts:

Questions answered by Dr Bing Zhu following his presentation on Personalised Intelligent Vehicle Control with Driver Behaviour Identification presentation

Questions answered by Dr Xinjie Zhang following his presentation on Cooperative Adaptive Cruise Control (CACC) Including Platform Kinematics,

Question Answered by Dr Ye Zhuang following his presentation on Vehicle Driving Dynamics and Control for Active Safety under Extreme Manoeuvre

Vehicle Dynamics and Controls will continue to evolve as we move ever closer to fully automated driving. This area is just one being considered as part of Intelligent Safety. If you wish to learn more about the subject and continue the conversation, the Intelligent Safety Conference will be held in conjunction with the China SAE Congress & Exhibition (SAECCE), in October 2020, in Shanghai. Please visit the FISITA website for more information.