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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 …
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
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 …
that were deployed in the largest field test of automated vehicles designed to smooth traffic …
On the analytical properties of a nonlinear microscopic dynamical model for connected and automated vehicles
In this letter, we propose an integrated dynamical model of Connected and Automated
Vehicles (CAVs) which incorporates CAV technologies and a microscopic car-following …
Vehicles (CAVs) which incorporates CAV technologies and a microscopic car-following …
Design, preparation, and execution of the 100-AV field test for the CIRCLES consortium: Methodology and implementation of the largest mobile traffic control …
This article presents the comprehensive design, setup, execution, and evaluation of the
MegaVanderTest (MVT) experiment conducted by the Congestion Impacts Reduction via …
MegaVanderTest (MVT) experiment conducted by the Congestion Impacts Reduction via …
Kernel-based planning and imitation learning control for flow smoothing in mixed autonomy traffic
This article presents a new architecture for managing heterogeneous fleets aimed at
achieving flow harmonization in mixed-autonomy traffic, demonstrating robustness across …
achieving flow harmonization in mixed-autonomy traffic, demonstrating robustness across …
Reinforcement learning-based oscillation dampening: Scaling up single-agent reinforcement learning algorithms to a 100-autonomous-vehicle highway field …
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 …
that were deployed in the largest field test of automated vehicles designed to smooth traffic …
CIRCLES: Congestion impacts reduction via CAV-in-the-loop Lagrangian energy smoothing
AM Bayen, JW Lee, B Piccoli, B Seibold, JM Sprinkle… - 2024 - osti.gov
The energy efficiency of today's vehicular mobility relies on the un-integrated combination of
i) control via static assets (traffic lights, metering, variable speed limits, etc.); and ii) onboard …
i) control via static assets (traffic lights, metering, variable speed limits, etc.); and ii) onboard …
Cooperative Cruising: Reinforcement Learning based Time-Headway Control for Increased Traffic Efficiency
Y Veksler, S Hornstein, H Wang, MLD Monache… - arxiv preprint arxiv …, 2024 - arxiv.org
The proliferation of Connected Automated Vehicles represents an unprecedented
opportunity for improving driving efficiency and alleviating traffic congestion. However …
opportunity for improving driving efficiency and alleviating traffic congestion. However …
Mesoscale Traffic Forecasting for Real-Time Bottleneck and Shockwave Prediction
Accurate real-time traffic state forecasting plays a pivotal role in traffic control research. In
particular, the CIRCLES consortium project necessitates predictive techniques to mitigate …
particular, the CIRCLES consortium project necessitates predictive techniques to mitigate …