[HTML][HTML] COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep …

D Li, F Zhu, T Chen, YD Wong, C Zhu, J Wu - Transportation Research Part …, 2023 - Elsevier
Platooning and coordination are two implementation strategies that are frequently proposed
for traffic control of connected and autonomous vehicles (CAVs) at signal-free intersections …

Modeling adaptive platoon and reservation‐based intersection control for connected and autonomous vehicles employing deep reinforcement learning

D Li, J Wu, F Zhu, T Chen… - Computer‐Aided Civil and …, 2023 - Wiley Online Library
As a cutting‐edge strategy to reduce travel delay and fuel consumption, platooning of
connected and autonomous vehicles (CAVs) at signal‐free intersections has become …

Deep reinforcement learning for vehicle platooning at a signalized intersection in mixed traffic with partial detection

HT Trinh, SH Bae, DQ Tran - Applied Sciences, 2022 - mdpi.com
The intersection management system can increase traffic capacity, vehicle safety, and the
smoothness of all vehicle movement. Platoons of connected vehicles (CVs) use …

Cooperative signal-free intersection control using virtual platooning and traffic flow regulation

A Zhou, S Peeta, M Yang, J Wang - Transportation research part C …, 2022 - Elsevier
The emerging technologies of connectivity and automation enable the potential for signal-
free intersection control. In this context, virtual platooning is posited to be an innovative …

A platoon-based cooperative optimal control for connected autonomous vehicles at highway on-ramps under heavy traffic

Y Xue, X Zhang, Z Cui, B Yu, K Gao - Transportation research part C …, 2023 - Elsevier
To improve traffic efficiency at highway on-ramps under heavy traffic, this study proposes a
platoon-based cooperative optimal control algorithm for connected autonomous vehicles …

A sharing deep reinforcement learning method for efficient vehicle platooning control

S Lu, Y Cai, L Chen, H Wang, X Sun… - IET Intelligent Transport …, 2022 - Wiley Online Library
The combination of reinforcement learning and platooning control has been widely studied,
which has been considered to be altruistic on the basis of safety. However, the platooning …

A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon

H Shi, D Chen, N Zheng, X Wang, Y Zhou… - … Research Part C …, 2023 - Elsevier
This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …

Autonomous Vehicle Platoons in Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach

L D'Alfonso, F Giannini, G Franzè… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
In this paper, platoons of autonomous vehicles operating in urban road networks are
considered. From a methodological point of view, the problem of interest consists of formally …

Coordination of mixed platoons and eco-driving strategy for a signal-free intersection

S Jiang, T Pan, R Zhong, C Chen, X Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper investigates the collaborative control of vehicular traffic for a signal-free
intersection. The traffic under consideration is mixed with connected autonomous vehicles …

Deep reinforcement learning based platooning control for travel delay and fuel optimization

CC Yen, H Gao, M Zhang - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Vehicular emissions and traffic congestion have been deteriorated by highly urbanization.
The worsen traffic burdens drivers with a higher cost and longer time on driving, and …