| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 8 | |
| Section | Pedestrian Dynamics | |
| DOI | https://doi.org/10.1051/epjconf/202533404005 | |
| Published online | 12 September 2025 | |
https://doi.org/10.1051/epjconf/202533404005
Blowing away risk: Integrating airflow into a model for simulating infection spread in moving crowds
Munich University of Applied Sciences HM, Department of Computer Science and Mathematics, 80335 München, Germany
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 September 2025
Abstract
During the COVID-19 pandemic, airflow proved essential for reducing indoor infection risk. To observe its effect, we present a fast, efficient simulation model, combining crowd and infection modeling with airflow. In an example scenario, pathogen exposure was reduced by a factor of 25 through airflow integration.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.