Data-driven crowd dynamics using kinetic theory and ensemble-based data assimilation
- DOI
- 10.1063/5.0346463
- Published
- 2026-08-01
- Container
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Publisher
- AIP Publishing
- 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 = {Santiago Rosa and Manuel Pulido and Orlando Billoni and Juan Martin Guerrieri and Juan Pablo Agnelli},
year = {2026},
journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
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 - Santiago Rosa AU - Manuel Pulido AU - Orlando Billoni AU - Juan Martin Guerrieri AU - Juan Pablo Agnelli PY - 2026 JO - Chaos: An Interdisciplinary Journal of Nonlinear Science DO - 10.1063/5.0346463 UR - https://doi.org/10.1063/5.0346463 ER -
APA
Rosa, S., Pulido, M., Billoni, O., Guerrieri, J. M., & Agnelli, J. P. (2026). Data-driven crowd dynamics using kinetic theory and ensemble-based data assimilation. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/5.0346463
Source records
- crossref · retrieved 2026-11-08T11:33:11.709Z