Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors
Austin Coursey, Junyi Ji, Zhiyao Zhang, William Barbour, Marcos Quiñones-Grueiro, Tyler Derr, Gautam Biswas, Daniel B. Work · 2025
Undetected anomalous incidents on the freeway, such as crashes, can cause increased congestion and secondary crashes. To address this problem, we recently released a real freeway traffic anomalous event detection dataset. However, our evaluation was limited to a static week of traffic data. This demo presents a live anomaly detection dashboard, processing sensor data with a 1-minute delay. It has interactive components to adjust the anomaly detection performance, providing a realistic evaluation of graph anomaly detection methods for long-term analysis and method improvements.