Open access
Aug 2026
Traffic-Prior-Guided State-Aware Framework for Robust Urban Traffic Anomaly Detection
A traffic-prior-guided state-aware framework for robust urban traffic anomaly detection that provides a robust and interpretable solution for intelligent urban traffic monitoring, anomaly warning, and resilient traffic operation management.
Ling-Guang Wang, Chang-Bo Kang, Yanchen Qiu et al.
· Urban Science · 0 citations