Dynamics and Control of Connected Vehicles

Dynamics and Control of Connected Vehicles

Course Overview: This module focuses on modeling and control of connected vehicle systems consisting of human-driven vehicles and connected automated vehicles. Models are built in terms of ordinary differential equations and delay differential equations to describe the motion of different vehicle classes in the traffic flow. The stability of uniform flow equilibrium is studied at the linear and nonlinear levels. Controllers for connected automated vehicles are designed so that they can ensure safety, stability and disturbance attenuation. The concepts of plant stability and string stability are formally defined and emphasized through the course. The impacts of utilizing vehicle-to-everything connectivity to ensure traffic safety and efficiency are highlighted.


Course Instructor(s): Gabor Orosz, Professor of Mechanical Engineering — University of Michigan, Professor of Civil and Environmental Engineering — University of Michigan

Gabor Orosz Headshot. The link directs to their bio page on the CCAT website.

Gabor Orosz received an MSc degree in Engineering Physics from the Budapest University of Technology, Hungary, in 2002, and a PhD degree in Engineering Mathematics from the University of Bristol, UK, in 2006. He held postdoctoral positions at the University of Exeter, UK, and at the University of California, Santa Barbara. In 2010, he joined the University of Michigan, Ann Arbor where he is currently a Professor in Mechanical Engineering and in Civil and Environmental Engineering. From 2017 to 2018 he was a Visiting Professor in Control and Dynamical Systems at the California Institute of Technology. In 2022 he was a Distinguished Guest Researcher in Applied Mechanics at the Budapest University of Technology and from 2023 to 2024 he was a Fulbright Scholar at the same institution. He served as an associate editor for Transportation Research Part C from 2018 to 2023. He has been serving as an associate editor for the IEEE Transactions on Control Systems Technology since 2021, and for the IEEE Transactions on Intelligent Transportation Systems since 2022. He served as the general chair for the 17th IFAC Workshop on Time Delay System and for the 3rd IAVSD Workshop on Dynamics of Road Vehicles, Connected and Automated Vehicles. His research interests include nonlinear dynamics and control, time delay systems, machine learning and data-driven systems, with applications to connected and automated vehicles, and traffic flow.


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