Ternes, P. orcid.org/0000-0002-3116-3692, Ward, J.A., Heppenstall, A. et al. (3 more authors) (2024) Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters. Open Research Europe, 1 (131). ISSN 2732-5121
Abstract
This paper explores the use of a particle filter—a data assimilation method—to incorporate real-time data into an agent-based model. We apply the method to a simulation of real pedestrians moving through the concourse of Grand Central Terminal in New York City (USA). The results show that the particle filter does not perform well due to (i) the unpredictable behaviour of some pedestrians and (ii) because the filter does not optimise the categorical agent parameters that are characteristic of this type of model. This problem only arises because the experiments use real-world pedestrian movement data, rather than simulated, hypothetical data, as is more common. We point to a potential solution that involves resampling some of the variables in a particle, such as the locations of the agents in space, but keeps other variables such as the agents’ choice of destination. This research illustrates the importance of including real-world data and provides a proof of concept for the application of an improved particle filter to an agent-based model. The obstacles and solutions discussed have important implications for future work that is focused on building large-scale real-time agent-based models.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 Ternes P et al. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Agent-Based Modelling, Crowd Simulation, Data Assimilation, Particle Filter |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Academic Services (Leeds) > IT The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Apr 2024 14:07 |
Last Modified: | 30 Apr 2024 14:07 |
Status: | Published |
Publisher: | F1000Research |
Identification Number: | 10.12688/openreseurope.14144.1 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:212098 |
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