A Mean Field Game Description of Pedestrian Dynamics - Lecture
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore a 44-minute lecture on crowd dynamics at the operational level, presented by Denis Ullmo from Université Paris-Saclay, France, as part of the ISS Informal Systems Seminar at GERAD Research Center. Delve into the complexities of pedestrian movement around obstacles, examining various model predictions against experimental data. Discover why traditional models based on granular materials and even modern crowd dynamics models with short-term anticipation fail to accurately represent pedestrian behavior. Learn about a novel approach using Mean Field Game theory, which incorporates pedestrian anticipation and demonstrates a fascinating connection to the non-linear Schrödinger equation. Gain insights into how this innovative model successfully reproduces key experimental features, challenging conventional assumptions about crowd dynamics.