Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters

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Title

Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters

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The University of Auckland Library

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ResearchSpace@Auckland

Description

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...

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Format

Research paper

Research format

Journal article

Date created

2022-01-01

Creator

Ternes, Patricia / Ward, Jonathan A / Heppenstall, Alison / Kumar, Vijay / Kieu, Le-Minh / Malleson, Nick

URL

https://hdl.handle.net/2292/65620

Related subjects

37 Earth Sciences / 46 Information and Computing Sciences / 4602 Artificial Intelligence

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