Wang, Y. orcid.org/0000-0002-1804-2335, Ge, J. and Comber, A. orcid.org/0000-0002-3652-7846 (2022) An agent-based simulation model of pedestrian evacuation based on Bayesian Nash Equilibrium (version 1.0.0). CoMSES.
Abstract
This ABM aims to introduce a new individual decision-making model, BNE into the ABM of pedestrian evacuation to properly model individual behaviours and motions in emergency situations. Three types of behavioural models has been developed, which are Shortest Route (SR) model, Random Follow (RF) model, and BNE model, to better reproduce evacuation dynamics in a tunnel space. A series of simulation experiments were conducted to evaluate the simulating performance of the proposed ABM.
Metadata
Item Type: | Other |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Oct 2023 14:57 |
Last Modified: | 20 Oct 2023 14:57 |
Status: | Published |
Publisher: | CoMSES |
Identification Number: | 10.25937/75wf-aa82 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:203746 |