Deep adaptive control: Deep reinforcement learning-based adaptive vehicle trajectory control algorithms for different risk levels
In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …
Cooperative platoon formation of connected and autonomous vehicles: Toward efficient merging coordination at unsignalized intersections
This paper presents a Vehicle-Platoon-Aware Bi-Level Optimization Algorithm for
Autonomous Intersection Management (VPA-AIM) to coordinate the merging of Connected …
Autonomous Intersection Management (VPA-AIM) to coordinate the merging of Connected …
Finite-time command-filtered lateral-longitudinal formation control of vehicles on rough roads
G Guo, Q Zhang - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
This paper investigates the lateral and longitudinal formation control problem of a group of
vehicles driving in rough road environments. An adaptive sliding mode disturbance observer …
vehicles driving in rough road environments. An adaptive sliding mode disturbance observer …
Exploring the impact of damping on Connected and Autonomous Vehicle platoon safety with CACC
Y Dai, Y Yang, Z Wang, YJ Luo - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
Abstract Connected and Autonomous Vehicle (CAV) platooning has gained attention for its
potential for vastly enhancing capacity and safety of future transport systems. Previous …
potential for vastly enhancing capacity and safety of future transport systems. Previous …
An autonomous platoon formation strategy to optimize CAV car-following stability under periodic disturbance
In the real word, the periodic disturbance in traffic flow caused by disrupting maneuvers has
a huge impact on the car-following stability. As analyzed in this paper, the asymptotic …
a huge impact on the car-following stability. As analyzed in this paper, the asymptotic …
A deep reinforcement learning framework for eco-driving in connected and automated hybrid electric vehicles
Connected and Automated Vehicles (CAVs), in particular those with multiple power sources,
have the potential to significantly reduce fuel consumption and travel time in real-world …
have the potential to significantly reduce fuel consumption and travel time in real-world …
Speed profile generation strategy for efficient merging of automated vehicles on roundabouts with realistic traffic
The capabilities of automated vehicles have increased over the last years, and different
driving strategies have shown promising results on a variety of scenarios. However, there …
driving strategies have shown promising results on a variety of scenarios. However, there …
Energy-efficient connected cruise control with lean penetration of connected vehicles
This paper focuses on energy-efficient longitudinal controller design for a connected
automated truck that travels in mixed traffic consisting of connected and non-connected …
automated truck that travels in mixed traffic consisting of connected and non-connected …
Multiagent deep reinforcement learning for automated truck platooning control
Human-leading automated truck platooning has been an effective technique to improve
traffic capacity and fuel economy and eliminate uncertainties of the traffic environment …
traffic capacity and fuel economy and eliminate uncertainties of the traffic environment …
Dual Closed-Loop Finite-Time Control for Lateral Trajectory Tracking of Unmanned Ground Vehicles Under Velocity-Varying Motion
P Li, H Yang, Z Zuo, F Cheng - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Lateral stability control is the key to ensure vehicle driving safety, especially when
unmanned ground vehicles perform overtaking and yielding. To this end, this paper …
unmanned ground vehicles perform overtaking and yielding. To this end, this paper …