Social Distance Characterization by means of Pedestrian Simulation
Physics and Society
2020-09-10 v1
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.
Cite
@article{arxiv.2009.04019,
title = {Social Distance Characterization by means of Pedestrian Simulation},
author = {Daniel R. Parisi and Germán A. Patterson and Lucio Pagni and Agustina Osimani and Tomas Bacigalupo and Juan Godfrid and Federico M. Bergagna and Manuel Rodriguez Brizi and Pedro Momesso and Fermin L. Gomez and Jimena Lozano and Juan Martin Baader and Ignacio Ribas and Facundo P. Astiz Meyer and Miguel Di Luca and Nicolás E. Barrera and Ezequiel M. Keimel Álvarez and Maite M. Herran Oyhanarte and Pedro R. Pingarilho and Ximena Zuberbuhler and Felipe Gorostiaga},
journal= {arXiv preprint arXiv:2009.04019},
year = {2020}
}
Comments
12 pages, 9 figures, to be submitted to Scientific Reports