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arXiv · 2006.15213

Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale

Serge Plata·Sumanas Sarma·Melvin Lancelot·Kristine Bagrova·David Romano-Critchley
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Abstract

Taking the context of simulating a retail environment using agent based modelling, a theoretical model is presented that describes the probability distribution of customer "collisions" using a novel space transformation to the Torus $Tor^2$. A method for generating the distribution of customer paths based on historical basket data is developed. Finally a calculation of the number of simulations required for statistical significance is developed. An implementation of this modelling approach to run simulations on multiple store geometries at industrial scale is being developed with current progress detailed in the technical appendix.

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Serge Plata, Sumanas Sarma, Melvin Lancelot, Kristine Bagrova, David Romano-Critchley. 2020-06-26. Simulating human interactions in supermarkets to measure the risk of COVID-19 contagion at scale. https://arxiv.org/abs/2006.15213

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