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Crowd Dynamics, Volume 1Pedestrian Models Based on Rational Behaviour

Crowd Dynamics, Volume 1: Pedestrian Models Based on Rational Behaviour [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Crowd Dynamics, Volume 1Pedestrian Models Based on Rational Behaviour

Part of the Modeling and Simulation in Science, Engineering and Technology Book Series
Editors: Gibelli, Livio; Bellomo, Nicola
Bailo, Rafael; Carrillo, José A.; Degond, Pierre
Crowd Dynamics, Volume 1 — Jan 23, 2019
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33 pages

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2018
ISBN
978-3-030-05128-0
Pages
259 –292
DOI
10.1007/978-3-030-05129-7_9
Publisher site
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Abstract

[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.]

Published: Jan 23, 2019

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