The paper proposes a deep learning framework that labels traffic anomalies from slowdown-speed patterns and trains sequence models to predict them up to 30 minutes ahead, reporting earlier alerts than incident-report-based baselines.
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Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection
The paper proposes a deep learning framework that labels traffic anomalies from slowdown-speed patterns and trains sequence models to predict them up to 30 minutes ahead, reporting earlier alerts than incident-report-based baselines.