Modular Smart City Digital Twins: A Survey of Key Technologies
: Immonen, Eero; Villman, Tero; Lindholm, Michael; Kaivo-oja, Jari
: Biele, Cezary; Kacprzyk, Janusz; Kopeć, Wiesław; Możaryn, Jakub; Owsiński, Jan W.; Romanowski, Andrzej; Sikorski, Marcin
: Machine Intelligence and Digital Interaction Conference
Publisher: Springer Science and Business Media Deutschland GmbH
: 2024
: Lecture notes in networks and systems
: Digital Interaction and Machine Intelligence: Proceedings of MIDI’2023 – 11th Machine Intelligence and Digital Interaction – Conference, December 12-14, 2023, Warsaw, Poland (online)
: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
: 1076
: 316
: 326
: 978-3-031-66593-6
: 978-3-031-66594-3
: 2367-3389
DOI: https://doi.org/10.1007/978-3-031-66594-3_33(external)
: https://doi.org/10.1007/978-3-031-66594-3_33(external)
Smart City Digital Twins (SCDT) are virtual replicas of cities (or parts thereof) that integrate real-time data from various sources to enable simulation, monitoring, and optimization of urban systems for more efficient and sustainable urban management. In this article, we provide a survey of modular SCDTs, covering standardization and key enabling technologies. Modular hardware and software architectures pave way for standardization, which is crucial for efficient maintenance as well as scalability and portability to new application domains.
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Funding from the Smart City Digital Twins project (EAKR) is gratefully acknowledged.