Detecting dynamical patterns in pedestrian bottlenecks Koopman-based quantification of crowd dynamics

What properties characterize a bottleneck through which pedestrians are walking? Using Koopman theory, we analyze simulated bottleneck scenarios for their underlying geometrical components. The obtained models deconstruct the dynamical system into intrinsic spatio-temporal patterns allowing a high-accuracy reconstruction and geometrical interpretation.

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Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-09-12
DOI
https://doi.org/10.1051/epjconf/202533404020/pdf
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

Detecting dynamical patterns in pedestrian bottlenecks Koopman-based quantification of crowd dynamics

Gerta Köster, Sabrina Kern, Michael Eberhard
Springer Link (Chiba Institute of Technology)
Evacuation and Crowd Dynamics
article

Detecting dynamical patterns in pedestrian bottlenecks Koopman-based quantification of crowd dynamics

Gerta Köster, Sabrina Kern, Michael Eberhard
article en

Abstract

What properties characterize a bottleneck through which pedestrians are walking? Using Koopman theory, we analyze simulated bottleneck scenarios for their underlying geometrical components. The obtained models deconstruct the dynamical system into intrinsic spatio-temporal patterns allowing a high-accuracy reconstruction and geometrical interpretation.

Springer Link (Chiba Institute of Technology)
Sustainable cities and communities
Openalex Percentile: Top 31%
Evacuation and Crowd Dynamics
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Detecting dynamical patterns in pedestrian bottlenecks Koopman-based quantification of crowd dynamics — Gerta Köster, Sabrina Kern, et al. · Springer Link (Chiba Institute of Technology) (2025) | TGRS Research Map | TGRS