A general approach to smoothing nonlinear mixed traffic via control of autonomous vehicles

S Wang, M Shang, MW Levin, R Stern - Transportation Research Part C …, 2023‏ - Elsevier
Stop-and-go waves are easily caused by unstable traffic due to the collective behavior of
human drivers, resulting in higher vehicle fuel consumption and emissions. In this article, we …

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 with communication latency with application to stop-and-go wave dissipation

A Richardson, X Wang, A Dubey… - 2024 IEEE Intelligent …, 2024‏ - ieeexplore.ieee.org
In this work, we test the influence of several levels of communication and processing
corresponding latency for traffic wave dissipation control. The approach uses Connected …

Control of multi-agent systems: Results, open problems, and applications

B Piccoli - Open Mathematics, 2023‏ - degruyter.com
The purpose of this review article is to present some recent results on the modeling and
control of large systems of agents. We focus on particular applications where the agents are …

Destroying phantom jams with connectivity and automation: Nonlinear dynamics and control of mixed traffic

TG Molnar, G Orosz - Transportation Science, 2024‏ - pubsonline.informs.org
Connected automated vehicles (CAVs) have the potential to improve the efficiency of
vehicular traffic. In this paper, we discuss how CAVs can positively impact the dynamic …

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 …

Connected cruise and traffic control for pairs of connected automated vehicles

S Guo, G Orosz, TG Molnar - IEEE Transactions on Intelligent …, 2023‏ - ieeexplore.ieee.org
This paper considers mixed traffic consisting of connected automated vehicles equipped
with vehicle-to-everything (V2X) connectivity and human-driven vehicles. A control strategy …

Generalizing cooperative eco-driving via multi-residual task learning

V Jayawardana, S Li, C Wu, Y Farid… - … on Robotics and …, 2024‏ - ieeexplore.ieee.org
Conventional control, such as model-based control, is commonly utilized in autonomous
driving due to its efficiency and reliability. However, real-world autonomous driving contends …