employee
Russian Federation
employee
Russian Federation
The article examines the integration mechanisms of digital twin cities and artificial intelligence as the basis for managing smart urban technologies. Based on the analysis of international experience (the Republic of Korea – the Seoul Smart Core project worth 841.2 billion won, Egypt – The Spine project worth 27 billion dollars, the European BLUEPRINT and Horizon Europe initiatives), the architectural principles of building AI-digital twins, their functional levels and decision-making mechanisms are considered. Special attention is paid to the transformation of urban governance from reactive to proactive through the introduction of AI analytics, predictive modeling and distributed edge computing. Based on research data, including the Greek study of 301 urban planning professionals, three tables are presented that characterize the components of digital twins, the distribution of AI computing, and European financing tools. The conclusion is made about the transition from simulation platforms to agent-based digital counterparts with the integration of LLM agents and multimodal interfaces.
digital twin of the city, artificial intelligence, smart city, predictive modeling, edge computing, urban planning
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