Social Distance Characterization by means of Pedestrian Simulation

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 Martin Baader; Ignacio Ribas; Facundo P. Astiz Meyer; Miguel Di Luca; Nicolás E. Barrera; Ezequiel M. Keimel Álvarez; Maite M. Herran Oyhanarte; Pedro R. Pingarilho; Ximena Zuberbuhler; Felipe Gorostiaga

arXiv · 2009.04019

Social Distance Characterization by means of Pedestrian Simulation

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Abstract

In the present work, we study how the number of simulated clients (occupancy) affects the social distance in an ideal supermarket. For this, we account for realistic typical dimensions and process time (picking products and checkout). From the simulated trajectories, we measure events of social distance less than 2 m and its duration. Between other observables, we define a social distance coefficient that informs how many events (of a given duration) suffer each agent in the system. These kinds of outputs could be useful for building procedures and protocols in the context of a pandemic allowing to keep low health risks while setting a maximum operating capacity.

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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 Martin Baader, Ignacio Ribas, Facundo P. Astiz Meyer, Miguel Di Luca, Nicolás E. Barrera, Ezequiel M. Keimel Álvarez, Maite M. Herran Oyhanarte, Pedro R. Pingarilho, Ximena Zuberbuhler, Felipe Gorostiaga. 2020-09-08. Social Distance Characterization by means of Pedestrian Simulation. https://arxiv.org/abs/2009.04019

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