Multi-Scopic Simulation for People Flow Feature Extraction Based on Topological Mapping

Abstract

In recent years, advances in information and communication technology have led to the research and development of cyber-physical systems and digital twin that simulate various events in real space in cyber space. In the field of human flow simulation, it is possible to predict and analyze the flow of people in various spaces, from indoor to outdoor, and use this information to create spaces that promote human activities, such as searching for optimal layouts and alleviating congestion by distributing traffic lines. In this paper, we propose to use multi-scopic simulation to simulate human flow. Next, using the human flow data measured by the simulation, we extract and analyze the features by topological mapping. Finally, we discuss the effectiveness of the proposed method through some simulation results.