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Multi-agent reinforcement learning for connected and automated vehicles control: Recent advancements and future prospects
Connected and automated vehicles (CAVs) are considered a potential solution for future
transportation challenges, aiming to develop systems that are efficient, safe, and …
transportation challenges, aiming to develop systems that are efficient, safe, and …
A cognitive-based trajectory prediction approach for autonomous driving
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
surrounding vehicles is paramount for ensuring safety and operational efficiency …
surrounding vehicles is paramount for ensuring safety and operational efficiency …
Safety performance evaluation of freeway merging areas under autonomous vehicles environment using a co-simulation platform
Merging areas serve as the potential bottlenecks for continuous traffic flow on freeways.
Traffic incidents in freeway merging areas are closely related to decision-making errors of …
Traffic incidents in freeway merging areas are closely related to decision-making errors of …
Physical-informed neural network for MPC-based trajectory tracking of vehicles with noise considered
The trajectory tracking plays a vital role in unmanned driving technology. Although
traditional control schemes may yield satisfactory outcomes in dealing with simple linear …
traditional control schemes may yield satisfactory outcomes in dealing with simple linear …
Bevgpt: Generative pre-trained foundation model for autonomous driving prediction, decision-making, and planning
Prediction, decision-making, and motion planning are essential for autonomous driving. In
most contemporary works, they are considered individual modules or combined into a multi …
most contemporary works, they are considered individual modules or combined into a multi …
Improved consensus ADMM for cooperative motion planning of large-scale connected autonomous vehicles with limited communication
This paper investigates a cooperative motion planning problem for large-scale connected
autonomous vehicles (CAVs) under limited communications, which addresses the …
autonomous vehicles (CAVs) under limited communications, which addresses the …
Human-like decision making for autonomous driving with social skills
There may exist long-term mixed traffic that consists of human-driven vehicles (HDV) and
autonomous driving vehicles (ADV). Hence, a formidable challenge arises: the effective …
autonomous driving vehicles (ADV). Hence, a formidable challenge arises: the effective …
Automated valet parking and charging: A dynamic pricing and reservation-based framework leveraging multi-agent reinforcement learning
Vehicle parking resource provisioning in major cities and urban areas has gradually
become a challenging issue in Intelligent Transportation Systems (ITS) due to the upward …
become a challenging issue in Intelligent Transportation Systems (ITS) due to the upward …
Collaborative planning and control of heterogeneous multi-ground unmanned platforms
P Xue, D Pi, C Wan, C Yang, B **e, H Wang… - … Applications of Artificial …, 2024 - Elsevier
With the rapid development of intelligent vehicles, mobile robots, warehousing and logistics,
exploration and testing and other industries, multi-platform collaborative work research has …
exploration and testing and other industries, multi-platform collaborative work research has …
A homogeneous multi-vehicle cooperative group decision-making method in complicated mixed traffic scenarios
Abstract Connected and Automated Vehicles (CAVs) are expected to reshape the
transportation system, and cooperative group intelligence of CAVs has great potential for …
transportation system, and cooperative group intelligence of CAVs has great potential for …