Road Infrastructure

Road infrastructure research focuses on improving the efficiency, safety, and sustainability of road networks through advanced technologies and data-driven approaches. Current research emphasizes automated asset detection and classification using deep learning models like YOLO and advanced loss functions, coupled with the integration of connected vehicle data and LiDAR for precise localization and condition monitoring. These advancements aim to optimize maintenance scheduling, enhance traffic management, and improve autonomous vehicle navigation, ultimately leading to safer and more efficient transportation systems.