Modeling of obstacle avoidance by a dense crowd as a Mean-Field Game

Fuente: arXiv
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Bibliographic Details
Main Authors: Butano, Matteo, Bonnemain, Thibault, Appert-Rolland, Cécile, Nicolas, Alexandre, Ullmo, Denis
Format: Preprint
Published: 2024
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author Butano, Matteo
Bonnemain, Thibault
Appert-Rolland, Cécile
Nicolas, Alexandre
Ullmo, Denis
author_facet Butano, Matteo
Bonnemain, Thibault
Appert-Rolland, Cécile
Nicolas, Alexandre
Ullmo, Denis
contents In this paper we use a minimal model based on Mean-Field Games (a mathematical framework apt to describe situations where a large number of agents compete strategically) to simulate the scenario where a static dense human crowd is crossed by a cylindrical intruder. After a brief explanation of the mathematics behind it, we compare our model directly against the empirical data collected during a controlled experiment replicating the aforementioned situation. We then summarize the features that make the model adhere so well to the experiment and clarify the anticipation time in this framework.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00603
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Modeling of obstacle avoidance by a dense crowd as a Mean-Field Game
Butano, Matteo
Bonnemain, Thibault
Appert-Rolland, Cécile
Nicolas, Alexandre
Ullmo, Denis
Physics and Society
In this paper we use a minimal model based on Mean-Field Games (a mathematical framework apt to describe situations where a large number of agents compete strategically) to simulate the scenario where a static dense human crowd is crossed by a cylindrical intruder. After a brief explanation of the mathematics behind it, we compare our model directly against the empirical data collected during a controlled experiment replicating the aforementioned situation. We then summarize the features that make the model adhere so well to the experiment and clarify the anticipation time in this framework.
title Modeling of obstacle avoidance by a dense crowd as a Mean-Field Game
topic Physics and Society
url https://arxiv.org/abs/2403.00603