Lagrangian and Sparse Control for Multi-agents Dynamics and Traffic

Lagrangian and Sparse Control for Multi-agents Dynamics and Traffic

April 5, 2019

Benedetto PiccoliBenedetto Piccoli, of Rutgers University - Camden, presented Lagrangian and Sparse Control for Multi-agents Dynamics and Traffic at the ITS Berkeley Transportation Seminar April 5 at 4 p.m. in Banatao Auditorium, 310 Sutardja Dai Hall.

Abstract

Autonomous and connected vehicles allow unprecedented possibilities in influencing and controlling traffic. In particular dissipating stop-and-go waves, naturally appearing in highway traffic, is an achievable goal. The latter will imply significant fuel economy improvement, pollutant emission reduction and diminished breaking events. We first show some control approach based on microscopic model, then pass to discuss how mean-field limits for the controlled dynamics can be rigorously derived, focusing on a controlled leaders approach. Ring-road experiments videos will illustrate the applicability of such approach.

Presenter

Benedetto Piccoli is Distinguished Professor and the Lopez Chair Professor of Mathematics at Rutgers University - Camden. He also serves as Associate Provost for Research. His research interests include various areas of applied math such as traffic molding and systems biology. He is author of more than 150 paper, 6 books. His recognitions include AMS fellow and ICIAM plenary speaker.