Design of intelligent connected cruise control with vehicle-to-vehicle communication delays

Z Wang, S Jin, L Liu, C Fang, M Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Connected cruise control (CCC) refers to a type of advanced driver assistance system
combined with wireless vehicle-to-vehicle (V2V) communication technology to improve …

Optimal control design for connected cruise control with stochastic communication delays

Z Wang, Y Gao, C Fang, L Liu, H Zhou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
This paper presents an optimal control algorithm for connected cruise control (CCC) system
in the presence of the stochastic communication delays. In the CCC system, wireless vehicle …

[HTML][HTML] Communication delay-aware cooperative adaptive cruise control with dynamic network topologies-a convergence of communication and control

J Liu, Y Zhou, L Liu - Digital Communications and Networks, 2023 - Elsevier
Abstract Wireless communication-enabled Cooperative Adaptive Cruise Control (CACC) is
expected to improve the safety and traffic capacity of vehicle platoons. Existing CACC …

Optimal connected cruise control with arbitrary communication delays

Z Wang, Y Gao, C Fang, L Liu, S Guo… - IEEE Systems …, 2019 - ieeexplore.ieee.org
Connected cruise control (CCC), as an approach to regulate vehicle's longitudinal motion in
car-following platoon scenarios, can improve the safety and efficiency of the traffic flow. In …

Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles

H Shi, Y Zhou, K Wu, S Chen, B Ran, Q Nie - Knowledge-Based Systems, 2023 - Elsevier
Connected automated vehicles (CAVs) are broadly recognized as next-generation
transformative transportation technologies having great potential to improve traffic safety …

Smooth-switching control-based cooperative adaptive cruise control by considering dynamic information flow topology

A Zhou, S Gong, C Wang… - Transportation Research …, 2020 - journals.sagepub.com
Vehicle-to-vehicle communications can be unreliable because of interference and
information congestion, which leads to the dynamic information flow topology (IFT) in a …

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 …

A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure

H Shi, Y Zhou, X Wang, S Fu, S Gong… - Computer‐Aided Civil …, 2022 - Wiley Online Library
This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal
control strategy for connected and automated vehicles (CAVs) under communication failure …

Control design, stability analysis, and traffic flow implications for cooperative adaptive cruise control systems with compensation of communication delay

Y Zhang, Y Bai, J Hu, M Wang - Transportation Research …, 2020 - journals.sagepub.com
Communication delay is detrimental to the performance of cooperative adaptive cruise
control (CACC) systems. In this paper, we incorporate communication delay explicitly into …

Event-Triggered Parallel Control Using Deep Reinforcement Learning With Application to Comfortable Autonomous Driving

J Lu, L Li, FY Wang - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
A novel event-triggered control (ETC) method, called deep event-triggered parallel control
(deep-ETPC), is presented to achieve path tracking for comfortable autonomous driving …