Calculus of Variations and Geometric Measure Theory
home | mail | papers | authors | news | seminars | events | open positions | login

M. T. Chiri - X. Gong - B. Piccoli

Hybrid multi-population traffic flow model: Optimal control for a mean-field limit

created by chiri on 12 Oct 2021



Inserted: 12 oct 2021
Last Updated: 12 oct 2021

Year: 2021

Heterogeneous and multi-lane traffic flow modeling is fundamental to understand the dynamics and control of complex traffic systems. In this article, we consider three populations of vehicles: two classes of human-driven vehicles (cars and trucks) and autonomous vehicles.  The latter is distinguished by the presence of control in the acceleration. We model the multi-lane traffic by hybrid systems because of its hybrid nature: the continuous dynamics on each lane and the discrete events due to lane-changing maneuvers and study the optimal control problem associated with the hybrid systems. In particular, we investigate controlled hybrid systems from both a microscopic and macroscopic point of view. Furthermore, using $\Gamma$-convergence, we prove the well-posedness of an optimal control problem for a mean-field limit of a finite-dimensional hybrid system modeling heterogeneous multi-lane traffic with controlled autonomous vehicles.


Credits | Cookie policy | HTML 5 | CSS 2.1