Data-driven crowd dynamics using kinetic theory and ensemble-based data assimilation.

Rosa S, Pulido M, Billoni O, Martin Guerrieri J, Pablo Agnelli J

DOI: 10.1063/5.0346463
Published: 2026 Aug 1
Container: Chaos (Woodbury, N.Y.)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0346463,
  title = {Data-driven crowd dynamics using kinetic theory and ensemble-based data assimilation.},
  author = {Rosa S and Pulido M and Billoni O and Martin Guerrieri J and Pablo Agnelli J},
  year = {2026},
  journal = {Chaos (Woodbury, N.Y.)},
  doi = {10.1063/5.0346463},
  url = {https://doi.org/10.1063/5.0346463}
}

RIS

TY  - JOUR
TI  - Data-driven crowd dynamics using kinetic theory and ensemble-based data assimilation.
AU  - Rosa S
AU  - Pulido M
AU  - Billoni O
AU  - Martin Guerrieri J
AU  - Pablo Agnelli J
PY  - 2026
JO  - Chaos (Woodbury, N.Y.)
DO  - 10.1063/5.0346463
UR  - https://doi.org/10.1063/5.0346463
ER  -

APA

S, R., M, P., O, B., J, M. G., & J, P. A. (2026). Data-driven crowd dynamics using kinetic theory and ensemble-based data assimilation.. Chaos (Woodbury, N.Y.). https://doi.org/10.1063/5.0346463

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pubmed · retrieved 2026-09-25T17:38:44.678Z