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Smart city article details

Title	Towards Automatic Generation Of Digital Twins: Graph-Based Integration Of Smart City Datasets
ID_Doc	58033
Authors	Ernst S.; Kotulski L.; Wojnicki I.
Year	2023
Published	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14073 LNCS
DOI	http://dx.doi.org/10.1007/978-3-031-35995-8_31
Abstract	This paper presents a graph-based approach to modelling and analysis of spatial (GIS) datasets supporting the deployment of smart city solutions. The presented approach is based on the spatially-triggered graph transformations (STGT) methodology, which allows for materialisation of spatial relationships detected using suitable tools, as well as performing measurements and modifications of geometries. The theory is illustrated using a real-world example which concerns street lighting. It shows how an existing traffic sensor network can be used to enable dynamic dimming of lamps, which can result in significant energy usage savings. Also, network analysis is applied to broaden the coverage of such systems, even in case of sensor sparsity. The presented results have been obtained in a real-world project and are due for larger-scale validation in the near future. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	energy saving; GIS; graph transformations; smart cities

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