Keynote Session 4 — Alexandre Bayen
June 22, 2021 @ 11:30 am — 12:20 pm EDT
|Title||Lagrangian Control at Large and Local Scales in Mixed Autonomy Traffic Flow|
This talk investigates Lagrangian (mobile) control of traffic flow at local scale (vehicular level). The question of how self-driving vehicles will change traffic flow patterns is investigated. We describe approaches based on deep reinforcement learning presented in the context of enabling mixed-autonomy mobility. The talk explores the gradual and complex integration of automated vehicles into the existing traffic system. We present the potential impact of a small fraction of automated vehicles on low-level traffic flow dynamics, using novel techniques in model-free deep reinforcement learning, in which the automated vehicles act as mobile (Lagrangian) controllers to traffic flow. Illustrative examples will be presented in the context of a new open-source computational platform called FLOW, which integrates state of the art microsimulation tools with deep-RL libraries on AWS EC2. Interesting behavior of mixed autonomy traffic will be revealed in the context of emergent behavior of traffic: https://flow-project.github.io/
I missed this talk. Is there a record that I could review? Thanks!
Hi Feilong, the sessions are not recorded. You may reach out to the speakers you are interested in for slides or pre-recorded videos if they are willing to share.