Efficient video-based traffic conflict prediction and interpretable risk analysis at signalized intersections via deep learning.
The research results provide an efficient and accurate traffic-conflict prediction framework at signalized intersections, while identifying key contributing factors influencing their occurrence, thereby providing a decision support for enhancing urban intersection safety and mitigating accident risks.