Cooperative control of a platoon of connected autonomous vehicles and unconnected human‐driven vehicles
By using kinematic state information obtained through vehicle‐to‐vehicle communications,
connected autonomous vehicles (CAVs) can drive cooperatively to alleviate shockwave …
connected autonomous vehicles (CAVs) can drive cooperatively to alleviate shockwave …
A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon
This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …
longitudinal control for a mixed connected and automated traffic environment based on deep …
Proximal policy optimization-based driving control strategy of connected cruise vehicle platoons to improve traffic efficiency and safety
Z Xu, X Jiao, S Ru - Transportation research record, 2023 - journals.sagepub.com
This paper investigates connected cruise control (CCC) based on the deep reinforcement
learning algorithm to mitigate oscillations and improve traffic safety in stop-and-go waves. A …
learning algorithm to mitigate oscillations and improve traffic safety in stop-and-go waves. A …
Proactive longitudinal control to preclude disruptive lane changes of human-driven vehicles in mixed-flow traffic
Connected and autonomous vehicles (CAVs) can be leveraged to enable cooperative
platooning control to alleviate traffic oscillations. However, prior to a pure CAV environment …
platooning control to alleviate traffic oscillations. However, prior to a pure CAV environment …
[HTML][HTML] Improving safety in mixed traffic: A learning-based model predictive control for autonomous and human-driven vehicle platooning
As autonomous vehicles (AVs) become more common on public roads, their interaction with
human-driven vehicles (HVs) in mixed traffic is inevitable. This requires new control …
human-driven vehicles (HVs) in mixed traffic is inevitable. This requires new control …
Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles
Connected automated vehicles (CAVs) are broadly recognized as next-generation
transformative transportation technologies having great potential to improve traffic safety …
transformative transportation technologies having great potential to improve traffic safety …
Cooperative trajectory control for synchronizing the movement of two connected and autonomous vehicles separated in a mixed traffic flow
When connected and autonomous vehicles (CAVs) are widely used in the future, we can
foresee many essential applications, such as platoon formation and autonomous police …
foresee many essential applications, such as platoon formation and autonomous police …
Safety critical control of mixed-autonomy traffic via a single autonomous vehicle
Connected and automated vehicles (CAVs) have shown great potential in improving traffic
throughput, stability, and safety in mixed-autonomy traffic. Many recent research studies …
throughput, stability, and safety in mixed-autonomy traffic. Many recent research studies …
Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
This study seeks to develop a cooperative platoon control for a platoon mixed with
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …