Lightning Talk 2: Kernel-Based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic
Title: Kernel-Based Planning and Imitation Learning Control for Flow Smoothing in Mixed Autonomy Traffic
Authors: Zhe Fu, Arwa Alanqary, Abdul Rahman Kreidieh, Alexandre M. Bayen
Abstract: This article presents a new architecture for managing heterogeneous fleets aimed at achieving flow harmonization in mixed-autonomy traffic, demonstrating robustness across different sensing paradigms. We develop a kernel-based planning controller capable of providing anticipative coordination over low-bandwidth or high-latency networks. Furthermore...
Keywords: Traffic Flow Harmonization; Mixed Autonomy Traffic; Kernel-based Planning; Parameter Optimization; Imitation Learning
