Open Access
| 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 | |
- J. Liddle, A. Seyfried, W. Klingsch, T. Rupprecht, A. Schadschneider, A. Winkens, An experimental study of pedestrian congestions: Influence of bottleneck width and length, arXiv 0911.4350 (2009). [Google Scholar]
- B. Kleinmeier, B. Zönnchen, M. Gödel, G. Köster, Vadere: An open-source simulation framework to promote interdisciplinary understanding, Collective Dynamics 4 (2019). 10.17815/CD.2019.21 [Google Scholar]
- M.J. Seitz, G. Köster, Natural discretization of pedestrian movement in continuous space, Physical Review E 86, 046108 (2012). 10.1103/PhysRevE.86.046108 [Google Scholar]
- P.G. Gipps, B.S. Marksjö, A micro-simulation model for pedestrian flows, Mathematics and Computers in Simulation 27, 95 (1985). 10.1016/0378-4754(85)90027-8 [Google Scholar]
- M. Budisi C R. Mohr, I. Mezic, Applied koopmanism, Chaos 22, 047510 (2016). 10.1063/1.4772195 [Google Scholar]
- R.R. Coifman, S. Lafon, Diffusion maps, Applied and Computational Harmonic Analysis 21, 5 (2006). 10.1016/j.acha.2006.04.006 [Google Scholar]
- J.N. Kutz, Brunton, S.L. Brunton, B.W. Brunton, J.L. Proctor, Dynamic Mode Decomposition: data-driven modeling of complex systems (Society for Industrial and Applied Mathematics, Philadelphia, PA, 2016) [Google Scholar]
- M.O. Williams, I.G. Kevrekidis, C.W. Rowley, A data-driven approximation of the koopman operator: Extending dynamic mode decomposition, J. Nonlinear Sci. 25, 1307 (2015). 10.1007/s00332-015-9258-5 [Google Scholar]
- D. Lehmberg, F. Dietrich, G. Köster, H.J. Bungartz, datafold: data-driven models for point clouds and time series on manifolds, Journal of Open Source Software 5, 2283 (2020). 10.21105/joss.02283 [Google Scholar]
- D. Lehmberg, F. Dietrich, G. Köster, Modeling Melburnians—Using the Koopman operator to gain insight into crowd dynamics, Transportation Research Part C: Emerging Technologies 133, 103437 (2021). 10.1016/j.trc.2021.103437 [Google Scholar]
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