Comparative Analysis of Methods and Algorithms for Building a Digital Twin of a Smart City

Abstract

With the development of next-generation information technologies, especially big data and digital twins, the topic of building smart cities is increasingly dominating discussions about social change and economic performance. The purpose of this article is to analyze methods for building digital twins of a smart city. The paper describes the concepts underlying digital twins. Examples of the implementations of methods for building digital twins are investigated. Advantages of data mining and neural network modeling over other methods in the context of the considered characteristics are revealed. Based on the comparative analysis, it is shown that all methods can be complementary, as they are aimed to optimize processes, as well as predict and analyze problems.