Abstract

PARISI, D. R. et al. Physical distance characterization using pedestrian dynamics simulation. Pap. Phys. [online]. 2022, vol.14, pp.1-14.  Epub Jan 20, 2022. ISSN 1852-4249.  http://dx.doi.org/10.4279/pip.140001.

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.

        · text in English     · English ( pdf )