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@inbook{Bailo:2019:10.1007/978-3-030-05129-7_9,
author = {Bailo, R and Carrillo, JA and Degond, P},
booktitle = {Crowd Dynamics, Volume 1},
doi = {10.1007/978-3-030-05129-7_9},
editor = {Bellomo and Gibelli},
pages = {259--292},
publisher = {Springer Nature},
title = {Pedestrian models based on rational behaviour},
url = {http://dx.doi.org/10.1007/978-3-030-05129-7_9},
year = {2019}
}

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TY  - CHAP
AB  - Following the paradigm set by attraction-repulsion-alignment schemes, a myriad of individual-based models have been proposed to calculate the evolution of abstract agents. While the emergent features of many agent systems have been described astonishingly well with force-based models, this is not the case for pedestrians. Many of the classical schemes have failed to capture the fine detail of crowd dynamics, and it is unlikely that a purely mechanical model will succeed. As a response to the mechanistic literature, we will consider a model for pedestrian dynamics that attempts to reproduce the rational behaviour of individual agents through the means of anticipation. Each pedestrian undergoes a two-step time evolution based on a perception stage and a decision stage. We will discuss the validity of this game theoretical-based model in regimes with varying degrees of congestion, ultimately presenting a correction to the mechanistic model in order to achieve realistic high-density dynamics.
AU  - Bailo,R
AU  - Carrillo,JA
AU  - Degond,P
DO  - 10.1007/978-3-030-05129-7_9
EP  - 292
PB  - Springer Nature
PY  - 2019///
SP  - 259
TI  - Pedestrian models based on rational behaviour
T1  - Crowd Dynamics, Volume 1
UR  - http://dx.doi.org/10.1007/978-3-030-05129-7_9
UR  - https://link.springer.com/chapter/10.1007%2F978-3-030-05129-7_9
UR  - http://hdl.handle.net/10044/1/71462
ER  -

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ProfessorPierreDegond

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