AI-Driven Digital Twins for Smart Cities

This paper explores the issues of building digital twins for smart cities, which can be controlled manually or with the assistance of intelligent systems. For these purposes, a specialized logic platform, Delta, is being built, which has such properties as transparency, reliability, and predictabili...

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Bibliographic Details
Main Authors: Sergey Goncharov, Andrey Nechesov
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Engineering Proceedings
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Online Access:https://www.mdpi.com/2673-4591/58/1/94
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Summary:This paper explores the issues of building digital twins for smart cities, which can be controlled manually or with the assistance of intelligent systems. For these purposes, a specialized logic platform, Delta, is being built, which has such properties as transparency, reliability, and predictability. The Delta platform allows us to represent the digital twins of cities as a network of smart contracts that interact with each other within a unified multi-blockchain system. The inclusion of Delta-learning and Delta-connection modules facilitates knowledge acquisition and utilization for AI-driven process management and sensor integration within smart cities.
ISSN:2673-4591