Wang, Y. orcid.org/0000-0002-1804-2335, Ge, J. and Comber, A. orcid.org/0000-0002-3652-7846 (2022) An evacuation simulation model of pedestrian flow using Bayesian Nash equilibrium and a Multi-Agent System. AGILE: GIScience Series, 3 (68). ISSN 2700-8150
Abstract
The shortage of experimental data for individual behaviours has hampered systematic research on pedestrian behaviours and the refined development of evidence informed rules for pedestrian movement in simulation models. This research proposes an evacuation simulation model of pedestrian flow based on Bayesian Nash Equilibrium (BNE) and Multi-Agent System (MAS). In this paper, BNE was used to augment the logics of pedestrian decision-making processes in an evacuation MAS simulation and to improve evacuating agents’ movement and behaviours. A detailed introduction of the construction process and implementation details for the initial model as well as the visualization of experiment results are provided in this paper. Limitations and several potential future research directions are also identified.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. |
Keywords: | Pedestrian Behaviours, Agent Based Modelling, Bayesian Nash Equilibrium, Multi-Agent System |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jul 2023 12:15 |
Last Modified: | 31 Jul 2023 12:15 |
Published Version: | https://agile-giss.copernicus.org/articles/3/68/20... |
Status: | Published |
Publisher: | Copernicus GmbH |
Identification Number: | 10.5194/agile-giss-3-68-2022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:201964 |
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