Conference Presentation (After Call)

FZJ-2026-04746

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Distinguishing active from passive pedestrians in a dense crowd: Categorizing activity by combining density and dynamics

Adrian, J. (Corresponding author)FZJ* ; Küpper, M. (Corresponding author)

2026

Abstract: In our study, we investigate how people wait actively or passively in a bottleneck crowd and determine categories of "activity" by combining measures of density and the dynamics. We apply the proposed categorisation to a case study dataset. The aim of our investigation is to find out what conclusions can be drawn from the categories found with regard to waiting activity, as we expect inhomogeneities to have an effect on a macroscopic scale. For instance, variations in the capacities or evacuation times may be observed due to the presence of these inhomogeneities.

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Contributing Institute(s):

1. Zivile Sicherheitsforschung (IAS-7)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. DFG project G:(GEPRIS)549018809 - Impulsausbreitung in dichten Menschenmengen - Entstehung gefährlicher Dynamiken entschlüsseln (549018809) (549018809)

Appears in the scientific report 2026

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