Learning Traffic Anomalies from Generative Models on Real-Time Observations

Fotis I. Giasemis, Alexandros Sopasakis

Accurate detection of traffic anomalies is crucial for effective urban traffic management and congestion mitigation. We use the Spatiotemporal Generative Adversarial Network (STGAN…