Physical-informed neural network for MPC-based trajectory tracking of vehicles with noise considered

L Jin, L Liu, X Wang, M Shang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The trajectory tracking plays a vital role in unmanned driving technology. Although
traditional control schemes may yield satisfactory outcomes in dealing with simple linear …

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving

H Liao, Y Li, Z Li, C Wang, Z Cui… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In autonomous vehicle (AV) technology, the ability to accurately predict the movements of
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

P Chen, H Ni, L Wang, G Yu, J Sun - Accident Analysis & Prevention, 2024 - Elsevier
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 …

Human-like decision making for autonomous driving with social skills

C Zhao, D Chu, Z Deng, L Lu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
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 …

Stability Analysis and Control Validation of DDEV in Handling Limit via SOSP: A Strategy Based on Stability Region

T Shen, F Wang, Y Yan, M Zhao, Y Ren… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The stability region is an important criterion in the active safety system of vehicle. Extensive
literatures have developed various stability regions for the centralized driving vehicle (CDV) …

Improved Consensus ADMM for Cooperative Motion Planning of Large-Scale Connected Autonomous Vehicles with Limited Communication

H Liu, Z Huang, Z Zhu, Y Li, S Shen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This paper investigates a cooperative motion planning problem for large-scale connected
autonomous vehicles (CAVs) under limited communications, which addresses the …

Uncertainty-aware Decision Making and Planning for ICV based on Asymmetric Driving Aggressiveness

W Hu, C Wang, Z Deng, Y Yang, Y Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Precisely assessing driving threat of road segments could significantly enhance the driving
efficiency of intelligent connected vehicles (ICV) within mixed traffic scenarios. Existing …

Preference-Based Reinforcement Learning for Autonomous Vehicle Control Considering the Benefits of Following Vehicles

X Wen, X Zheng, Z Cui, S Jian… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Most studies developing car-following controllers for AVs in mixed traffic primarily focus on
maximizing the utility of the AVs. However, the utility of the entire mixed traffic flow is largely …

Driver Modeling Using a Continuous Policy Space: Theory and Traffic Data Validation

CO Yaldiz, Y Yildiz - IEEE Transactions on Intelligent Vehicles, 2023 - ieeexplore.ieee.org
In this article, we present a continuous-policy-space game theoretical method for modeling
human driver interactions on highway traffic. The proposed method is based on Gaussian …

A Separation and Rendezvous Control Method for the UAV-USV System Based on Distributed NMPC

S Li, Y Zhu, G Guo, P Yuan, J Bai - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Most of the recent UAV-USV systems consist of only one USV and one UAV and they cannot
operate uninterruptedly. And the information transmission among the USV and the UAV is …