| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 04020 | |
| Number of page(s) | 9 | |
| Section | Pedestrian Dynamics | |
| DOI | https://doi.org/10.1051/epjconf/202533404020 | |
| Published online | 12 September 2025 | |
https://doi.org/10.1051/epjconf/202533404020
Detecting dynamical patterns in pedestrian bottlenecks Koopman-based quantification of crowd dynamics
1 Munich University of Applied Sciences HM, 80335 Munich, Germany
2 Ludwig Maximilian University of Munich LMU, 80539 Munich, Germany
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 September 2025
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.
© The Authors, published by EDP Sciences, 2025
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