Abstract: Existing approaches often operate poorly in noisy or occluded conditions, rely on cloud-based inference subject to latency and privacy issues, and do not take emotional context into ...

Abstract: This paper proposes a novel real-time traffic congestion prediction framework based on dynamic risk field modeling and multi-source data fusion, tailored for complex urban road networks. By ...