Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement

J Liu, Z Wang, P Hang, J Sun - arXiv preprint arXiv:2404.15696, 2024 - arxiv.org
Cooperative Adaptive Cruise Control (CACC) represents a quintessential control strategy for
orchestrating vehicular platoon movement within Connected and Automated Vehicle (CAV) …

Communication-Efficient MARL for Platoon Stability and Energy-efficiency Co-optimization in Cooperative Adaptive Cruise Control of CAVs

M Hua, D Chen, K Jiang, F Zhang, J Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Cooperative adaptive cruise control (CACC) has been recognized as a fundamental function
of autonomous driving, in which platoon stability and energy efficiency are outstanding …

Communication-efficient decentralized multi-agent reinforcement learning for cooperative adaptive cruise control

D Chen, K Zhang, Y Wang, X Yin, Z Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …

Model-based deep reinforcement learning for CACC in mixed-autonomy vehicle platoon

T Chu, U Kalabić - 2019 IEEE 58th Conference on Decision …, 2019 - ieeexplore.ieee.org
This paper proposes a model-based deep reinforcement learning (DRL) algorithm for
cooperative adaptive cruise control (CACC) of connected vehicles. Differing from most …

Multi-agent reinforcement learning for cooperative adaptive cruise control

A Peake, J McCalmon, B Raiford, T Liu… - 2020 IEEE 32nd …, 2020 - ieeexplore.ieee.org
A growing trend in the field of autonomous vehicles is the use of platooning. The design of
control algorithms for platoons is challenging considering that coordination among vehicles …

An ML-aided reinforcement learning approach for challenging vehicle maneuvers

DC Selvaraj, S Hegde, N Amati… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The richness of information generated by today's vehicles fosters the development of data-
driven decision-making models, with the additional capability to account for the context in …

Hybrid Approach for Stabilizing Large Time Delays in Cooperative Adaptive Cruise Control with Reduced Performance Penalties

KF Hsueh, A Farnood, M Al Janaideh… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Cooperative adaptive cruise control (CACC) is a smart transportation solution that can
mitigate traffic jams and improve road safety. CACC performance is heavily impacted by …

A Deep Time Delay Filter for Cooperative Adaptive Cruise Control

KF Hsueh, A Farnood, I Al-Darabsah… - ACM Transactions on …, 2024 - dl.acm.org
Cooperative adaptive cruise control (CACC) is a smart transportation solution to alleviate
traffic congestion and enhance road safety. The performance of CACC systems can be …

Low-latency robust MPC for CACC under variable road geometry

J Lan, D Zhao, D Tian - IFAC-PapersOnLine, 2020 - Elsevier
Cooperative adaptive cruise control (CACC) has attracted much research attention, due to
its great potential in improving traffic throughput, safety and energy efficiency. This paper …

Learning-based cooperative adaptive cruise control

J Mirwald, J Ultsch, R de Castro, J Brembeck - Actuators, 2021 - mdpi.com
Traffic congestion and the occurrence of traffic accidents are problems that can be mitigated
by applying cooperative adaptive cruise control (CACC). In this work, we used deep …