Physical distance characterization using pedestrian dynamics simulation

In the present work we study how the number of simulated customers (occupancy) affects social distance in an ideal supermarket, considering realistic typical dimensions and processing times (product selection and checkout). From the simulated trajectories we measure social distance events of less th...

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Bibliographic Details
Published inPapers in physics Vol. 14
Main Authors Daniel R. Parisi, Germán A. Patterson, Lucio Pagni, Agustina Osimani, Tomas Bacigalupo, Juan Godfrid, Federico M. Bergagna, Manuel Rodriguez Brizi, Pedro Momesso, Fermin L. Gomez, Jimena Lozano, Juan M. Baader, Ignacio Ribas, Facundo P. Astiz Meyer, Miguel Di Luca, Nicolas E. Barrera, Ezequiel M. Keimel Álvarez, Maite M. Herran Oyhanarte, Pedro R. Pingarilho, Ximena Zuberbuhler, Felipe Gorostiaga
Format Journal Article
LanguageEnglish
Published Papers in Physics 01.01.2022
Subjects
Covid-19
Pandemic measures
Social distance
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Summary:In the present work we study how the number of simulated customers (occupancy) affects social distance in an ideal supermarket, considering realistic typical dimensions and processing times (product selection and checkout). From the simulated trajectories we measure social distance events of less than 2 m, and their duration. Among other observables, we define a physical distance coefficient that informs how many events (of a given duration) each agent experiences.
ISSN:1852-4249