학술논문

Physical distance characterization using pedestrian dynamics simulation.
Document Type
Article
Source
Papers in Physics. 2022, Vol. 14, p1-14. 14p.
Subject
*PEDESTRIANS
*SOCIAL distance
Language
ISSN
1852-4249
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. [ABSTRACT FROM AUTHOR]