Szczegóły publikacji
Opis bibliograficzny
Towards automatic generation of digital twins: graph-based integration of smart city datasets / Sebastian ERNST, Leszek KOTULSKI, Leszek WOJNICKI // W: Computational Science – ICCS 2023 : 23rd International Conference : Prague, Czech Republic, July 3–5, 2023 : proceedings, Pt. 1 / eds. Jiří Mikyška [et al.]. — Cham : Springer Nature, cop. 2023. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 14073). — ISBN: 978-3-031-35994-1; e-ISBN: 978-3-031-35995-8. — S. 435–449. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-06-26
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 147670 |
|---|---|
| Data dodania do BaDAP | 2023-07-21 |
| DOI | 10.1007/978-3-031-35995-8_31 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 23rd International Conference on Computational Science |
| Czasopismo/seria | Lecture Notes in Computer Science |
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.