09/03/2021 – 14h00-15h00 – Online
On the utilization of Macroscopic Information for String Stability of a Vehicular Platoon
Alessio Iovine (L2S, CentraleSupèlec)
Abstract. Interconnected autonomous vehicles have the capability toreduce stop-and-go waves propagation and traffic oscillations via the concept of String Stability. To improve the platoon stability, several cases of information sharing are usually considered for each leader-follower interaction, but a common characteristic is that some microscopic variables are always shared among the whole platoon, e.g. the acceleration of the platoon’s leading vehicle or its desired speed profile.
This talk investigates the possibility of using macroscopic information to improve control performance of a vehicular platoon composed of autonomous vehicles. A mesoscopic traffic modeling framework is proposed, and closed loop String Stability is achieved by exploiting Input-to-State Stability (ISS) for the analysis of the platoon. Simulations are implemented in order to validate the control laws and to show the efficacy of the proposed approach for mitigating traffic oscillations.
Biography. Alessio Iovine received the European Doctorate degree in information science and engineering in 2016 from the University of L’Aquila (Italy) in collaboration with CentraleSupélec, Paris-Saclay University (France). He held several postdoctoral positions: at Efficacity Research and Development Center (France), University of L’Aquila, University of California at Berkeley (USA), and at CentraleSupélec. He is currently a CNRS researcher at L2S at CentraleSupélec.
His research interests are related on advanced control methods for power and energy systems and traffic control, with smartgrids, integration of renewables and storage devices, autonomous vehicles and cooperative intelligent transportation systems as core applications.
Practical details. The seminar will take place online, using Microsoft Teams. If you want to attend this seminar (or any of the forthcoming online Automatiques seminars), and if you do not already have access to the AutoSeminar group on Teams, simply send an email and you will be invited. Please specify which email address the invitation must be sent to (this has to be the address associated with your Teams account). You will find the link to the seminar on the « General » AutoSeminar channel on Teams, approximately 15 minutes before the beginning.
The technical side of things: you can use Teams either directly from you web browser or using the « fat client », which is available for most platforms (Windows, Linux, Mac, Android & iOS). We strongly recommend the latter option whenever possible. Please give it a try before the seminar to anticipate potential problems.
