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Title A Study On The Population Distribution Prediction In Large City Using Agent-Based Simulation
ID_Doc 5082
Authors Kim B.; Lim C.-G.; Lee S.-H.; Jung Y.-J.
Year 2022
Published International Conference on Advanced Communication Technology, ICACT, 2022-February
DOI http://dx.doi.org/10.23919/ICACT53585.2022.9728882
Abstract In the smart city, digital twins replicate buildings, urban infrastructure, and utilities into a virtual space. In this paper, we create a virtual city simulation platform that can simulate the movement of people and present infrastructure such as urban buildings, roads, and public transport to predict urban change and population movement. In particular, we analyze mobile phone statistics data and exploit it as a movement distribution model to replicate the movement of population within a city and between neighboring cities. The urban simulation platform can estimate population movement and various urban problems and infrastructure changes. © 2022 Global IT Research Institute-GiRI.
Author Keywords Agent based Modeling; Digital Twin; Geographic Information Systems; Modeling and Simulation; Smart City


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