Wang, Y. orcid.org/0000-0002-1804-2335, Ge, J. and Comber, A. (2024) A Bayesian Nash Equilibrium (BNE)-informed ABM for pedestrian evacuation in different constricted spaces (Version 2.0.0). CoMSES Computational Model Library.
Abstract
This BNE-informed ABM ultimately aims to provide a more realistic description of complicated pedestrian behaviours especially in high-density and life-threatening situations. Bayesian Nash Equilibrium (BNE) was adopted to reproduce interactive decision-making process among rational and game-playing agents. The implementations of 3 behavioural models, which are Shortest Route (SR) model, Random Follow (RF) model, and BNE model, make it possible to simulate emergent patterns of pedestrian behaviours (e.g. herding and self-organised queuing behaviours, etc.) in emergency situations.
According to the common features of previous mass trampling accidents, a series of simulation experiments were performed in space with 3 types of barriers, which are Horizontal Corridors, Vertical Corridors, and Random Squares, standing for corridors, bottlenecks and intersections respectively, to investigate emergent behaviours of evacuees in varied constricted spatial environments. The output of this ABM has been available at https://data.mendeley.com/datasets/9v4byyvgxh/1.
Metadata
Item Type: | Other |
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Authors/Creators: |
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Keywords: | agent based modeling and simulation; crowd behaviour; game theory; Pedestrian Modelling; Crowd Simulation; Bayesian Nash Equilibrium |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Feb 2024 14:14 |
Last Modified: | 22 Feb 2024 14:14 |
Status: | Published |
Publisher: | CoMSES Computational Model Library |
Identification Number: | 10.25937/8bf3-h968 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:209514 |