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A cognitive model for routing in agent-based modelling

Grübel, J; Wise, S; Thrash, T; Hölscher, C; (2019) A cognitive model for routing in agent-based modelling. AIP Conference Proceedings , 2116 (1) , Article 250005. 10.1063/1.5114245. Green open access

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Abstract

Agent-based modelling (ABM) can be used as a computational tool to model human routing behaviour, and offers particular promise when combined with insights from cognitive science. In this paper, we introduce typical errors into the encoding of the agents mental representation of the environment. This method deviates from the classical computer science paradigm of optimality to capture human behaviour more accurately. By incorporating common distance and direction estimation errors, our model produces routes with fewer computational artefacts such as zigzagging (i.e., turning more often than the typical human) and bottlenecks (i.e., routing through one particular node that maximises efficiency). We demonstrate our results in regular and irregular environments and validate our model using a set of real-world footfall data from Westminster, London.

Type: Article
Title: A cognitive model for routing in agent-based modelling
Open access status: An open access version is available from UCL Discovery
DOI: 10.1063/1.5114245
Publisher version: https://doi.org/10.1063/1.5114245
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Centre for Advanced Spatial Analysis
URI: https://discovery.ucl.ac.uk/id/eprint/10080154
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