Traffic Control via Connected and Automated Vehicles (CAVs): An Open-Road Field Experiment with 100 CAVs

JW Lee, H Wang, K Jang, N Lichtlé… - IEEE Control …, 2025 - ieeexplore.ieee.org
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring
phenomena due to human driving behavior. Also called “phantom jams” or “stop-and-go …

Reinforcement learning based oscillation dampening: Scaling up single-agent RL algorithms to a 100 AV highway field operational test

K Jang, N Lichtlé, E Vinitsky, A Shah, M Bunting… - arxiv preprint arxiv …, 2024 - arxiv.org
In this article, we explore the technical details of the reinforcement learning (RL) algorithms
that were deployed in the largest field test of automated vehicles designed to smooth traffic …

Designing, simulating, and performing the 100-av field test for the circles consortium: Methodology and implementation of the largest mobile traffic control experiment …

M Ameli, S McQuade, JW Lee, M Bunting… - arxiv preprint arxiv …, 2024 - arxiv.org
Previous controlled experiments on single-lane ring roads have shown that a single partially
autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the …

Hierarchical speed planner for automated vehicles: A framework for Lagrangian variable speed limit in mixed-autonomy traffic

H Wang, Z Fu, JW Lee, HNZ Matin… - IEEE Control …, 2025 - ieeexplore.ieee.org
This article presents a novel hierarchical speed planning framework for variable speed limits
in mixed-autonomy traffic environments, leveraging server-side macroscopic control and …

Enabling mixed autonomy traffic control

M Nice, M Bunting, A Richardson, G Zachar… - arxiv preprint arxiv …, 2023 - arxiv.org
We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With
this new capability, automated vehicles can shape the traffic flows composed of other non …

Traffic smoothing using explicit local controllers

A Hayat, A Alanqary, R Bhadani, C Denaro… - arxiv preprint arxiv …, 2023 - arxiv.org
The dissipation of stop-and-go waves attracted recent attention as a traffic management
problem, which can be efficiently addressed by automated driving. As part of the 100 …

MARVEL: Bringing Multi-Agent Reinforcement-Learning Based Variable Speed Limit Controllers Closer to Deployment

Y Zhang, M Quinones-Grueiro, Z Zhang, Y Wang… - IEEE …, 2024 - ieeexplore.ieee.org
Variable Speed Limit (VSL) is a promising highway traffic management strategy deployed
worldwide. Most algorithms deployed operate based on a set of predefined rules which …

Sailing cavs: Speed-adaptive infrastructure-linked connected and automated vehicles

M Nice, M Bunting, G Gunter, W Barbour… - arxiv preprint arxiv …, 2023 - arxiv.org
This work demonstrates a new capability in roadway control: Speed-adaptive, infrastructure-
linked connected and automated vehicles. We develop and deploy a lightly modified vehicle …

Reinforcement learning-based oscillation dampening: Scaling up single-agent reinforcement learning algorithms to a 100-autonomous-vehicle highway field …

K Jang, N Lichtlé, E Vinitsky, A Shah… - IEEE Control …, 2025 - ieeexplore.ieee.org
In this article, we explore the technical details of the reinforcement learning (RL) algorithms
that were deployed in the largest field test of automated vehicles designed to smooth traffic …

A middle way to traffic enlightenment

MW Nice, G Gunter, J Ji, Y Zhang… - 2024 ACM/IEEE 15th …, 2024 - ieeexplore.ieee.org
This paper introduces a novel approach that seeks a middle ground for traffic control in multi-
lane congestion, where prevailing traffic speeds are too fast, and speed recommendations …