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DY: Fachverband Dynamik und Statistische Physik

DY 18: Pattern Formation, Delay and Nonlinear Stochastic Systems

DY 18.6: Talk

Tuesday, March 19, 2024, 11:00–11:15, BH-N 128

Self-organizing patterns in crossing flows of pedestrians — •Pratik Mullick — Wroclaw University of Science and Technology, Wroclaw, Poland

Studying collective dynamics of human crowds are vital for enhancing pedestrian traffic flow, ensuring safety, and effective urban planning. In this research, we focus on the emergence of striped patterns when two streams of pedestrians cross, a manifestation of self-organized collective behavior. Using experimental data, we introduce numerical strategies, such as an edge-cutting algorithm and a Gabor function-based pattern-matching technique to study geometric properties of these patterns. Notably, an invariant property is revealed: stripes in crossing groups are consistently parallel, and perpendicular to the bisector of crossing angle. This work contributes to understanding and modeling crowd behavior, offering insights applicable to diverse scenarios like pedestrian traffic management and crowd safety during mass gatherings. In presenting this research, I aim to share innovative computational methods and findings that advance the comprehension of self-organizing patterns in human crowds.

Keywords: pedestrian dynamics; crowd motion; crossing flows; emerging patterns