Smart City Gnosys

Smart city article details

Title	Digital Twin Framework For Smart City Solutions
ID_Doc	20203
Authors	Adreani L.; Bellini P.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.
Year	2022
Published	DMSVIVA 2022 - Proceedings of the 28th International DMS Conference on Visualization and Visual Languages
DOI	http://dx.doi.org/10.18293/DMSVIVA22-012
Abstract	Recently, 3D city modelling has attracted a growing interest as a building block for creating city Digital Twins. They are complex representations that include interactive representations of buildings and infrastructures, integrated with the wide range of data typically useful in a Smart City environment. This paper presents an automatic method for producing 3D city models from a various set of data, as well as its integration into the open-source Smart City framework, Snap4City. The proposed solution offers a method for creating effective integrated data visualizations of 3D city entities coupled with a large variety of Smart City data (e.g., IoT Devices which generate time-series data, heatmaps, geometries and shapes related to traffic flows, bus routes, cycling paths). The solution is based on a deep learning approach for rooftop detection and alignment based on a U-Net architecture. The implementation has been enforced into the open-source Snap4City Smart City platform, and has been validated by using a manually created ground-truth of 200 buildings scattered uniformly in the central area of Florence, plus a number of meshes representing a number of facades (not detailed in this paper), and traffic flows, pins, heatmaps, etc. © 2022 by KSI Research Inc. and Knowledge Systems Institute, USA.
Author Keywords	3D City model; digital twin; Photorealistic texture; Smart City applications

Similar Articles

Id	Similarity	Authors	Title	Published
45049	0.968	Adreani L.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.	Rendering 3D City For Smart City Digital Twin	Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (2022)
30635	0.959	Adreani L.; Bellini P.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.	Implementing Integrated Digital Twin Modelling And Representation Into The Snap4City Platform For Smart City Solutions	Multimedia Tools and Applications, 83, 12 (2024)
3672	0.958	Adreani L.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.	A Photorealistic 3D City Modeling Framework For Smart City Digital Twin	Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (2022)
50193	0.929	Adreani L.; Bellini P.; Fanfani M.; Nesi P.; Pantaleo G.	Smart City Digital Twin Framework For Real-Time Multi-Data Integration And Wide Public Distribution	IEEE Access, 12 (2024)
35720	0.899	Felemban E.; Abdul Majid A.R.M.; Rehman F.U.; Lbath A.	Low-Cost Digital Twin Framework For 3D Modeling Of Homogenous Urban Zones	Intelligent Computing - Proceedings of the 2021 Computing Conference (2021)
20232	0.898	Lam H.-K.; Lam P.-D.; Ok S.-Y.; Lee S.-H.	Digital Twin Smart City Visualization With Moe-Based Personal Thermal Comfort Analysis	Sensors, 25, 3 (2025)
35376	0.896	Diakite A.A.; Ng L.; Barton J.; Rigby M.; Williams K.; Barr S.; Zlatanova S.	Liveable City Digital Twin: A Pilot Project For The City Of Liverpool (Nsw, Australia)	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 4/W2-2022 (2022)
19565	0.893	Sta Ana R.R.; Escoto J.E.; Fargas D., Jr.; Panlilio K.; Jerez M.; Sarmiento C.J.	Development Of A Digital Twin For The Monitoring Of Smart Cities Using Open-Source Software	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 46, 4/W6-2021 (2021)
19681	0.893	Nokkaew P.; Leksansern A.; Jindasee P.; Kamonsantiroj S.; Srisomboon K.; Sutthisangiam N.	Development Of Digital Twin Road Infrastructure For Smart City Modeling	Lecture Notes on Data Engineering and Communications Technologies, 259 (2025)
44419	0.89	Kim J.; Ham Y.	Real-Time Participatory Sensing-Driven Computational Framework Toward Digital Twin City Modeling	Construction Research Congress 2022: Computer Applications, Automation, and Data Analytics - Selected Papers from Construction Research Congress 2022, 2-B (2022)