Human swarm modeling in exhibition space and space design

Abstract

In an exhibition space, it is possible to control human flow implicitly by changing a layout of exhibits. The objectives of this paper are the layout optimization of exhibits to reduce congestion and the amenity space design. For these purposes, macro modeling of human swarm behavior and the optimization method of a layout of exhibits are required. So far, human swarm behavior has been modeled by two-dimensional vector field and individual behavior is represented by dynamics including collision avoidance vector of individuals. In this paper, we extend the human model to multi-dimensional dynamics in order to represent individual characteristics in measured data and visitors' stopping to view exhibits. In addition, a layout of exhibits is optimized based on the proposed model by minimizing collision avoidance vector. The proposed method is verified by simulations and experiments using swarm robots which consist of autonomous mobile robots and radio controlled robots. The results show that the comfortable exhibition space is designed.