Simulation of pedestrians behavior in a shopping mall

Abstract

The knowledge of phenomena connected with pedestrian movement and behavior is important in retail and service sectors. Such a belief finds confirmation in numerous researches, which proved true a strong relationship between shops’ profitability and the way customers move inside them. The goal of the article is to work out a model of pedestrian behavior in a shoppingmall based on a multi-agent approach on the basis of some already-existing successful solutions, namely we combine PED4 and Social Distances algorithms into one simulation framework.