<ul><li>This research aims to know traffic anomalies as early as possible.</li><li>The objective is to inform traffic operators of unreported incidents in real time and as early as possible.</li><li>A deep learning framework utilizing prior domain knowledge and model-designing strategies is proposed for early detection of traffic anomalies.</li><li>The experimental results demonstrate the effectiveness of the model in early anomaly detection.</li></ul>

Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection

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