Simulation of Human Behavior in Different Densities as a Part of Crowd Control Systems

Abstract

This paper presents a novel approach to the crowd behavior modeling and simulation in different densities used as a decision support tool in crowd control systems. Non-invasive examination of movement and behavior of people in different densities and situations may lead to the detection and prevention of crisis situations involving crowds especially at high densities. In order to get approximated model of human acting we use microscopic approach for pedestrian representation. In model each person in crowd is described as an agent with individual attributes, behavior rules and own proxemics space. Representation of environment uses a combination of two approaches: coarse network model and fine network model simultaneously. The model and simulator can be used as a part of systems for supporting and controlling pedestrian movement, evacuations, demonstrations or situations where high congestion of people can be critical.