Analysis Variations in Shoulder Rotation Behavior with Respect to Macroscopic Crowd Characteristics: Insights from CROWDLIMITS

In crowded pedestrian environments, individuals often resort to rotating their bodies as a strategy to avoid collisions. Surprisingly, this rotational behavior, despite its significant implications for crowd capacity, has received relatively little attention in research. This study seeks to fill this gap by diving into the complicated world of...

Forecasting tourist counts with historical counts and external features

This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes.