Data-Driven Crowd Dynamics using Kinetic Theory and Ensemble-based Data Assimilation

Santiago Rosa, Manuel Pulido, Orlando Billoni +2

Understanding pedestrian dynamics is critical for mitigating crowd-related risks and improving public safety. In this work, we propose a data-driven mesoscopic modeling framework t…