Cooperative Driving

Cooperative driving research focuses on improving the safety and efficiency of autonomous vehicles through inter-vehicle communication and coordination. Current efforts center on developing robust algorithms for multi-agent decision-making, often employing techniques like Monte Carlo Tree Search, large language models, and reinforcement learning to predict and plan trajectories while handling uncertainties and communication limitations. This field is significant for advancing autonomous driving technology, particularly in addressing challenges like traffic flow optimization, accident prevention, and the safe integration of autonomous vehicles into existing transportation systems.