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physics.soc-ph2026

Modeling inhomogeneous spatial point configurations with applications to replicated patterns in waiting crowds

Lars Sickert Karam, Rui M. Castro, Maarten Schoukens +1

In this article, we connect statistical inference for spatial point processes with the analysis of waiting pedestrian crowds through two interconnected contributions. First, on the…

physics.soc-ph2026

The multi-fractal nature of pedestrian arrival times

Caspar A. S. Pouw, Alessandro Corbetta, Alessandro Gabbana +1

Pedestrian arrival times exhibit complex temporal organization across multiple scales, shaped by working hours, transportation schedules, and collective behaviors - features often…

physics.soc-ph2025

Probabilistic dynamics of small groups in crowd flows

Chiel van der Laan, Alessandro Corbetta

Pedestrians in crowds frequently move as part of small groups, constituting up to 70% of individuals. Dyads (groups of two) are the most frequent. Understanding quantitatively the…

physics.soc-ph2024

Understanding complex crowd dynamics with generative neural simulators

Koen Minartz, Fleur Hendriks, Simon Martinus Koop +2

Understanding the dynamics of pedestrian crowds is an outstanding challenge crucial for designing efficient urban infrastructure and ensuring safe crowd management. To this end, bo…

physics.soc-ph2024

Data-driven physics-based modeling of pedestrian dynamics

Caspar A. S. Pouw, Geert G. M. van der Vleuten, Alessandro Corbetta +1

Pedestrian crowds encompass a complex interplay of intentional movements aimed at reaching specific destinations, fluctuations due to personal and interpersonal variability, and in…