Cited by 138Smart Cities and TechnologiesDigital Transformation in Industry3D Modeling in Geospatial Applications

Digital Twin of City: Concept Overview

Ivanov, Sergey, Nikolskaya, Ksenia, Radchenko, Gleb, Sokolinsky, Leonid, Zymbler, Mikhail·2020·2020 Global Smart Industry Conference (GloSIC)

Abstract

This article presents the concept of the digital twin of a city. The urban economy is a complex multi-vector system. Creating a single digital twin of such a system is now a difficult task to solve. In this article the concept of a digital twin of a city is presented. The authors propose an evolutionary approach to this problem, according to which digital twins of individual elements of the urban environment are consistently built on a single hardware and software platform. These digital twins are linked in a single cooperative system that allows one digital twin to use data produced by other digital twins. The article gives the definition and architecture of such a system. It describes the classes of models that can be used to create digital twins. Special attention is paid to neural network models and models for data analysis. The information infrastructure of the digital twin of a city, including sensory networks, data cleansing mechanisms and nebulous calculations, is considered.

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Registry

Crossref · 10.1109/glosic50886.2020.9267879

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  • Implementation of big data in urban space applications enables monitoring of behavioral patterns and lifestyle and their interaction with population, economic development, construction and infrastructure.

    “Furthermore, the implementation of big data in urban space applications enables monitoring of behavioral patterns and lifestyle and their interaction with population, economic development, construction and infrastructure [21].”

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Authors
Ivanov, S., Nikolskaya, K., Radchenko, G., Sokolinsky, L., & Zymbler, M.
Affiliations
South Ural State University (RU)
Venue
2020 Global Smart Industry Conference (GloSIC)
Publisher
IEEE
Published
2020-11-17
Pages
178-186
OpenAlex
W3106864127
Cited by
138
References
3
Citations by year
2026: 11 · 2025: 34 · 2024: 35 · 2023: 35 · 2022: 18 · 2021: 5
FWCI
30.31
Type
conference paper
Language
en
Open access
closed
Locations
Global Smart Industry Conference (GloSIC) (publishedVersion)
Funders
  • Ministry of Science and Higher Education of the Russian Federation
  • Russian Foundation for Basic Research
Topics
  • Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Building and Construction › 3D Modeling in Geospatial Applications
Keywords
urban systems, evolutionary perspective, neural network model, data analysis model, information infrastructure, sensory networks, data cleaning

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