Physical distance characterization using pedestrian dynamics simulation

PARISI, D.R.; PATTERSON, G.A.; PAGNI, L.; OSIMANI, A.; BACIGALUPO, T.; GODFRID, J.; BERGAGNA, F.M.; BRIZI, M. RODRIGUEZ; MOMESSO, P.; GOMEZ, F.L.; LOZANO, J.; BAADER, J.M.; RIBAS, I.; ASTIZ MEYER, F.P.; DI LUCA, M.; BARRERA, N.E.; KEIMEL ÁLVAREZ, E.M.; HERRAN OYHANARTE, M.M.; PINGARILHO, P.R.; ZUBERBUHLER, X.; GOROSTIAGA, F.

Papers in Physics

Instituto de Fisica de Liquidos y Sistemas Biologicos

Año: 2022 vol. 14

In the present work we study how the number of simulated customers (occupancy) af-fects 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 observ-ables, we define a physical distance coefficient that informs how many events (of a given duration) each agent experiences.