Smart City Gnosys

Smart city article details

Title	Low-Cost Digital Twin Framework For 3D Modeling Of Homogenous Urban Zones
ID_Doc	35720
Authors	Felemban E.; Abdul Majid A.R.M.; Rehman F.U.; Lbath A.
Year	2021
Published	Intelligent Computing - Proceedings of the 2021 Computing Conference
DOI	http://dx.doi.org/10.1007/978-3-030-80126-7_77
Abstract	Smart cities have been on the rise since the last decade. These cities can only be effective and sustainable when acquiring error-free information from multiple aspects and sources. Prone to errors and mistakes, traditional tools and observation methods require new assessment strategies to provide a clear perspective in simulation and a systematic evaluation for decision-making to be aligned with Industry 4.0. Digital Twin can offer an efficient solution to this problem under the cyber-physical system entity by creating a virtual space identical to the physical region and providing predictive information on the city’s current state. Such systems offer accurate representation in a virtual environment while taking input from the real world and simulating them for future predictions. These near-identical systems are constructed at a very high cost, and the cost increases as more intricate details are added to the environment. This paper presents selective technologies that can potentially contribute to developing a low-cost intelligent environment and smarter urban management framework. It looks into the analysis of the impact of different scenarios on a public event in three dimensions that will be crucial to the decision and policymaker before a plan is approved. The proposed framework will be able to guide present and upcoming potential solutions against the administrative challenges. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Author Keywords	3D Modeling; Data collection; Digital twin; Low-cost; Smart city

Similar Articles

Id	Similarity	Authors	Title	Published
50193	0.911	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)
20284	0.905	Wajid M.S.; Terashima-Marín H.; Zafar A.; Wajid M.A.; Bhushan B.	Digital Twins For Smart Cities And Urban Planning: From Virtual To Reality	Digital Twins for Smart Cities and Urban Planning: From Virtual to Reality (2025)
20203	0.899	Adreani L.; Bellini P.; Colombo C.; Fanfani M.; Nesi P.; Pantaleo G.; Pisanu R.	Digital Twin Framework For Smart City Solutions	DMSVIVA 2022 - Proceedings of the 28th International DMS Conference on Visualization and Visual Languages (2022)
30635	0.895	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)
9847	0.892	Sain L.; Bacic Z.; Nevistic Z.	Application Of Digital Twin In City Management	2023 International Conference on Earth Observation and Geo-Spatial Information, ICEOGI 2023 (2023)
35376	0.889	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)
31920	0.889	Lei Y.; Bruno N.; Roncella R.	Integrating 3D Survey And Open Datasets For Creating Low-Cost Urban Digital Twins In Vr	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48, 2/W8-2024 (2024)
20232	0.885	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)
44419	0.884	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)
59925	0.884	Dembski, F; Wössner, U; Letzgus, M; Ruddat, M; Yamu, C	Urban Digital Twins For Smart Cities And Citizens: The Case Study Of Herrenberg, Germany	SUSTAINABILITY, 12, 6 (2020)