Comparing Aggregated and Separate Models for Crowd Density Forecasting

Iohan Sardinha, Ana Paula Rocha, Rosaldo J. F. Rossetti

Abstract: Crowd density forecasting applied to smart cities is a task that can provide essential data for a city planner to use in different applications either for long-term optimization strategies, such as building infrastructure, or for daily operations, such as traffic network mapping, security allocation, and organizing events.