Efficient video-based traffic conflict prediction and interpretable risk analysis at signalized intersections via deep learning.
OBJECTIVES To achieve accurate and real-time prediction of traffic conflicts at signalized intersections and identify their key contributing factors, thereby supporting proactive safety management and reducing accident risks. METHODS This study proposes a novel multi-stage traffic-conflict prediction framework that i...