| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 04021 | |
| Number of page(s) | 9 | |
| Section | Pedestrian Dynamics | |
| DOI | https://doi.org/10.1051/epjconf/202533404021 | |
| Published online | 12 September 2025 | |
https://doi.org/10.1051/epjconf/202533404021
Faster-than-real-time Simulation of Multi-group Pedestrian Flow
1 ZHAW, Institute of Computational Physics, Technikumstrasse 71, CH-8400 Winterthur, Switzerland
2 HTWG Konstanz, Dept. Computer Science, Alfred-Wachtel-Straße 8, D-78462 Konstanz, Germany
* e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 12 September 2025
Abstract
Simulations of pedestrian flow are widely used for design guidelines during the planning of buildings and large events. In this article we discuss how faster-than-real-time simulations of pedestrian flow can contribute to dynamic control strategies of the crowd in order to ensure safety live during an event. For this purpose we present a continuous model for multi-group pedestrian flow. The model consists of the continuity equation for the density of pedestrians and a Helmholtz type equation providing the fastest path to the exit. It is derived by regularizing Hughes’ macroscopic model for pedestrian flow and is solved using the finite element method, which enables simulations at short runtimes. The model allows the definition of multiple groups with different fundamental diagrams or destination preferences. We show that this model is able to reproduce qualitatively the expected behavior of crossing pedestrian crowds. Its main advantage is its simulation speed, making it ideal for real-time crowd management at large events.
© 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.
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