Quantifying Urban Traffic Anomalies

30 Sep 2016Zhengyi ZhouPhilipp MeerkampChris Volinsky

Detecting and quantifying anomalies in urban traffic is critical for real-time alerting or re-routing in the short run and urban planning in the long run. We describe a two-step framework that achieves these two goals in a robust, fast, online, and unsupervised manner... (read more)

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