Vehicle Road

Vehicle road research focuses on improving the safety and efficiency of transportation systems, primarily through advancements in autonomous driving and vehicle-infrastructure cooperation. Current research emphasizes developing robust sensor calibration techniques (e.g., integrating visual and LiDAR data), creating accurate models of human-vehicle interactions (incorporating communication and bounded rationality), and designing efficient vehicle-road cooperative systems for tasks like emergency vehicle routing and traffic signal control (utilizing reinforcement learning and other AI methods). These advancements are crucial for enabling safer and more efficient autonomous driving, impacting both the development of autonomous vehicle technology and the design of intelligent transportation systems.