Urban Flow

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Using a diversity of big data and deep learning techniques to predict citywide crowd/traffic flows throughout a city.

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Junbo Zhang
Senior Researcher

My research interests include deep learning, data mining, AI, big data analytics, and urban computing.

Publications

Predicting flows (e.g. the traffic of vehicles, crowds and bikes), consisting of the in-out traffic at a node and transitions between …

We proposed a deep-learning-based approach, called ST-ResNet, to collectively forecast the inflow and outflow of crowds in each and …