Vehicle Communication

Vehicle communication (V2X) research focuses on enhancing safety and efficiency in transportation systems by enabling vehicles to exchange information. Current efforts concentrate on improving the reliability and robustness of V2X communication, particularly in challenging environments, using techniques like reconfigurable intelligent surfaces and adaptive data fusion with machine learning algorithms such as deep reinforcement learning and collaborative filtering. This research is crucial for advancing autonomous driving, improving traffic management, and ultimately reducing accidents involving vulnerable road users, with ongoing work focusing on developing robust and efficient communication protocols and data processing methods.