A4 Refereed article in a conference publication
Modular Smart City Digital Twins: A Survey of Key Technologies
Authors: Immonen, Eero; Villman, Tero; Lindholm, Michael; Kaivo-oja, Jari
Editors: Biele, Cezary; Kacprzyk, Janusz; Kopeć, Wiesław; Możaryn, Jakub; Owsiński, Jan W.; Romanowski, Andrzej; Sikorski, Marcin
Conference name: Machine Intelligence and Digital Interaction Conference
Publisher: Springer Science and Business Media Deutschland GmbH
Publication year: 2024
Journal: Lecture notes in networks and systems
Book title : Digital Interaction and Machine Intelligence: Proceedings of MIDI’2023 – 11th Machine Intelligence and Digital Interaction – Conference, December 12-14, 2023, Warsaw, Poland (online)
Journal name in source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 1076
First page : 316
Last page: 326
ISBN: 978-3-031-66593-6
eISBN: 978-3-031-66594-3
eISSN: 2367-3389
DOI: https://doi.org/10.1007/978-3-031-66594-3_33
Web address : https://doi.org/10.1007/978-3-031-66594-3_33
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.
Funding information in the publication:
Funding from the Smart City Digital Twins project (EAKR) is gratefully acknowledged.
