I.V. Chukhraev1, I.A. Krysin2, M.M. Perelmuter3, N.A. Tikhonov4, K.S. Dzhanaev5

1,2,4,5 Kaluga Branch of Bauman Moscow State Technical University (Kaluga, Russia)

3 LLC "Digital twin of the city" (Kaluga, Russia)

1 chukhraev@bmstu.ru, 2 ivan@bmstu.ru, 3 m.perelmuter@kross-ltd.ru, 4 tikhonovna@student.bmstu.ru, 5 dzhanaevks@student.bmstu.ru

Modern megacities face unprecedented challenges, from overpopulation and infrastructure wear and tear to climate crises. In this context, the digital twin of a city becomes a tool for transforming governance. A digital twin of a city is a virtual model of a city that integrates data from various sources, including Internet of Things (IoT) devices (smart meters, air quality sensors), geospatial data (3D models, photogrammetry, satellite imagery), traffic patterns, energy consumption metrics in kilowatt-hours (kWh), and social infrastructure. The article discusses three classes of data: structured, semi-structured, and unstructured, as well as methods for their semantic integration based on ontologies (OWL) and RDF graphs. Special attention is paid to the FAIR (Findable, Accessible, Interoperable, Reusable) methodology and the application of artificial intelligence (AI) for predicting urban processes, including graph neural networks (Graph Neural Networks, GNN) and NLP (Natural Language Processing) models for automating the construction of ontologies. The example of international projects (Helsinki 3D, Virtual Singapore) demonstrates the potential of a digital twin of a city for sustainable development: optimizing urban planning, improving the efficiency of emergency services, and predicting failures of municipal infrastructure. The challenges of scaling (exaflops computing) and ethical issues (personal data protection) are described.

As a result of the study, the concept of the "Digital Twin of the City" platform is introduced, which is designed to carry out work on preparing city models, layouts of above-ground facilities and underground utilities in the territory of a municipal entity or autonomous district using information volumetric modeling (3D modeling) in order to interact with the information systems of city authorities and organizations, as well as other sources containing spatial information about the state of the urban territory, based on the use of geospatial data formats and aerial photography materials. This tool will be widely used in the following areas: urban planning, city services, housing and utilities, urban development, and medicine and healthcare.

Chukhraev I.V., Krysin I.A., Perelmuter M.M., Tikhonov N.A., Dzhanaev K.S. Concept of digital twin of city: object, data, and management. Information-measuring and Control Systems. 2026. V. 24. № 2. P. 6−10. DOI: https://doi.org/10.18127/j20700814-202602-01 (in Russian)

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