Physical distance characterization using pedestrian dynamics simulation

Abstract

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.