Merging control strategies of connected and autonomous vehicles at freeway on-ramps: A comprehensive review
Purpose-On-ramp merging areas are typical bottlenecks in the freeway network since
merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and …
merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and …
Towards autonomous driving: Review and perspectives on configuration and control of four-wheel independent drive/steering electric vehicles
P Hang, X Chen - Actuators, 2021 - mdpi.com
In this paper, the related studies of chassis configurations and control systems for four-wheel
independent drive/steering electric vehicles (4WID-4WIS EV) are reviewed and discussed …
independent drive/steering electric vehicles (4WID-4WIS EV) are reviewed and discussed …
A systematic survey of control techniques and applications in connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …
predictions of interactive behaviors between traffic participants. This paper tackles the …
Driver anomaly quantification for intelligent vehicles: A contrastive learning approach with representation clustering
Driver anomaly quantification is a fundamental capability to support human-centric driving
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …
A multi-vehicle game-theoretic framework for decision making and planning of autonomous vehicles in mixed traffic
To improve the safety, comfort, and efficiency of the intelligent transportation system,
particularly in complex traffic environments where autonomous vehicles (AVs) and human …
particularly in complex traffic environments where autonomous vehicles (AVs) and human …
Autonomous driving strategies at intersections: Scenarios, state-of-the-art, and future outlooks
Due to the complex and dynamic character of intersection scenarios, the autonomous
driving strategy at intersections has been a difficult problem and a hot point in the research …
driving strategy at intersections has been a difficult problem and a hot point in the research …
A secure sensor fusion framework for connected and automated vehicles under sensor attacks
As typical applications of cyber–physical systems (CPSs), connected and automated
vehicles (CAVs) are able to measure the surroundings and share local information with the …
vehicles (CAVs) are able to measure the surroundings and share local information with the …
Multi-lane coordinated control strategy of connected and automated vehicles for on-ramp merging area based on cooperative game
L Yang, J Zhan, WL Shang, S Fang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ramp merging represents a bottleneck scenario that causes traffic congestion, accidents,
and increases emissions. Connected and Automated Vehicles (CAVs) can realize the …
and increases emissions. Connected and Automated Vehicles (CAVs) can realize the …
Policy iteration based approximate dynamic programming toward autonomous driving in constrained dynamic environment
In the area of autonomous driving, it typically brings great difficulty in solving the motion
planning problem since the vehicle model is nonlinear and the driving scenarios are …
planning problem since the vehicle model is nonlinear and the driving scenarios are …