Crowd Flow

Predicting citywide crowd flows using deep spatio-temporal residual networks

Forecasting the flow of crowds is of great importance to traffic management and public safety, and very challenging as it is affected by many complex factors, including spatial dependencies (nearby and distant), temporal dependencies (closeness, …