Workshop Topics

With the advancement of vehicle-to-everything (V2X) communications, the concept of cooperative driving has been attracting increasing attention from both academia and industry. Connected vehicles, either driven by human drivers or automated controllers, are able to coordinate with each other or infrastructures through V2X communications in certain traffic scenarios to improve the overall performance. Cooperative Adaptive Cruise Control (CACC), cooperative ramp merging, connected eco-driving at signalized intersections, automated coordination at non-signalized intersections, among other cooperative driving applications of connected vehicles, have the potential to benefit the transportation system in terms of safety, mobility, resilience, and/or environmental sustainability.

However, the market penetration rate of connected vehicles is expected to evolve gradually. There will certainly be a transition period where only a portion of the vehicles traveling in the traffic environment are connected (and potentially automated), while others have no V2X capabilities – either automated vehicles equipped with on-board sensors or legacy vehicles driven by human drivers. How to perform cooperative driving maneuvers in mixed traffic environments to allow the coordinations among all these vehicle types remains an open research question.

This workshop focuses on sharing the state-of-the-art design, modeling, algorithms, simulation, and field implementation of cooperative driving in mixed traffic, and identifies challenges as well as research needs, aiming to encourage cross-disciplinary cooperation. The specific topics of interest are listed below:

• Cooperative perception or situation awareness enabled by sensors on multi-vehicles or sensor fusion between vehicles and infrastructure

• Driving behaviour modelling and driver intention inference

• V2X-based cooperative motion planning and motion control

• Cooperative driving methodologies for modelling the interaction between human-driven vehicles and automated vehicles

• Application of advanced machine learning techniques to cooperative driving

• Cyber security of cooperative driving systems

• Communication standard (including messaging) to enable cooperative driving

• Interaction between vehicles and vulnerable road users

• Advanced simulation of cooperative driving applications in mixed traffic

• Field implementation of cooperative driving in mixed traffic

Speaker: Sergei S. Avedisov

Research Scientist, Toyota Motor North America R&D, InfoTech Labs, USA

Biography: Dr. Avedisov is currently a Research Scientist at InfoTech Labs, Toyota Motor North America R&D. He received his M.Sc. and Ph.D. in Mechanical Engineering from the University of Michigan, Ann Arbor, USA, in 2016 and 2019 respectively. His current research interests are cooperative perception and cooperative maneuvering of connected vehicles, 5G communication technology, and applications of vehicle connectivity to ADAS.

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Speaker: Gabor Orosz

Associate Professor, University of Michigan, USA

Biography: Dr. Orosz is currently an Associate Professor in Mechanical Engineering at the University of Michigan, USA. He received his Ph.D. in Engineering Mathematics from the University of Bristol, UK, in 2006. Before that, he received MSc in Engineering Physics from Budapest University of Technology and Economics, Hungary, in 2002. His current research interests are Nonlinear dynamics and control, time delay systems, reinforcement learning, connected and automated vehicles, traffic flow, biological networks.

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Speaker: Zhanbo Sun

Professor and Associate Dean, Southwest Jiaotong University, China

Biography: Dr. Sun is currently a Professor and Associate Dean in the School of Transportation and Logistics at Southwest Jiaotong University, China. He received his Ph.D. in Transportation Engineering from Rensselaer Polytechnic Institute, USA, in 2014. Before that, he received his B.S. in Civil Engineering from Tsinghua University, China, in 2009. His current research interests are Collaborative Decision working for mixed Traffic with connected Automated Vehicles and Human Operated Vehicles.

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Workshop Agenda

Agenda will be finalized towards the workshop day.

Workshop Organizers

Ziran Wang, Research Scientist
Toyota Motor North America R&D - InfoTech Labs, USA
Guoyuan Wu, Associate Research Engineer
University of California, Riverside, USA
Shuo Feng, Post-Doctoral Researcher
University of Michigan, USA
Zhaojian Li, Assistant Professor
Michigan State University, USA
Jia Hu, Professor
Tongji University, China
Meng Wang, Assistant Professor
TU Delft, Netherlands