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Among these researches, agent-based modeling is a simulation modeling technique that exploited to simulate cities and calculate urban changes.
Agent-based modeling systems are modeled as a collection of autonomous decision-making entities called agents, and each agent can make decisions and execute actions individually.
Agent-based modeling and simulation of urban society analyzes social phenomena and simulates complex social processes employing large-scale entities.
In this paper, we propose urban simulation platform to represent the infrastructure of urban buildings, roads, public transportation and to predict changes of the city.
In particular, we analyze smartphone statistics data and uses it as a movement distribution model to replicate the movement of population within a city and between neighboring cities.
The proposed virtual city simulation platforms can estimate population migration and various urban problems that can occur due to changes in infrastructure.
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IEEE/ICACT20210167 Slide.03
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