Smart City Gnosys

Smart city article details

Title Towards The Digital Twinning And Simulation Of A Smart Building For Well-Being
ID_Doc 58414
Authors Hii D.J.C.; Hasama T.
Year 2024
Published Proceedings - Winter Simulation Conference
DOI http://dx.doi.org/10.1109/WSC63780.2024.10838963
Abstract Smart cities and buildings are enabled by the Internet of Things (IoT) sensor infrastructures integration and monitoring in the current Industry 5.0 era. Environment sensing, people and robots counting enable the simulations of both digital twin and agent-based modelling (ABM). This enables the understanding of the impact between the built environment and humans. The movement analysis allows planning and design of spaces as well as utilizing machine learning methods to train the trajectories for space usage prediction. Human behavior and social interaction comprehension is important to generate people friendly spaces. The GEAR is a smart, green, and WELL certified building embedded with sensors as a living lab for research and development. The diverse workspace layouts create an ideal testbed to study human and built environment interactions. This pursuit is to achieve more sustainable and better designed spaces for human well-being in the fast-changing world. © 2024 IEEE.
Author Keywords


Similar Articles


Id Similarity Authors Title Published
27261 View0.882Ngadi H.; Bounceur A.; Hammoudeh M.; Ouchani S.; Bezoui M.; Euler R.; Laouid A.From Simulation To Digital Twins, The Case Of Internet Of Things Research And ToolsACM International Conference Proceeding Series (2022)
19680 View0.881Masubuchi Y.; Hiraki T.; Hiroi Y.; Ibara M.; Matsutani K.; Zaizen M.; Morita J.Development Of Digital Twin Environment Through Integration Of Commercial Metaverse Platform And Iot Sensors Of Smart BuildingProceedings - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2025 (2025)
13017 View0.872Evangelou T.; Gkeli M.; Potsiou C.Building Digital Twins For Smart Cities: A Case Study In GreeceISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10, 4/W2-2022 (2022)
20230 View0.866Nica E.; Popescu G.H.; Poliak M.; Kliestik T.; Sabie O.-M.Digital Twin Simulation Tools, Spatial Cognition Algorithms, And Multi-Sensor Fusion Technology In Sustainable Urban Governance NetworksMathematics, 11, 9 (2023)
7086 View0.864Alnaser A.A.; Maxi M.; Elmousalami H.Ai-Powered Digital Twins And Internet Of Things For Smart Cities And Sustainable Building EnvironmentApplied Sciences (Switzerland), 14, 24 (2024)
4674 View0.864Li Z.; Yu Z.; Xu P.; Huang J.A Smart Building Digital Twin Prediction Framework Integrating Fiber Optic Sensing, Iot, And BimProceedings of SPIE - The International Society for Optical Engineering, 13682 (2025)
22926 View0.862Elnour M.; Ahmad A.M.; Abdelkarim S.; Fadli F.; Naji K.Empowering Smart Cities With Digital Twins Of Buildings: Applications And Implementation Considerations Of Data-Driven Energy Modelling In Building ManagementBuilding Services Engineering Research and Technology, 45, 4 (2024)
48440 View0.861Sahraoui Y.; Kerrache C.A.Sensors And Metaverse-Digital Twin Integration: A Path For Sustainable Smarter CitiesInternet of Things, Part F4006 (2025)
20257 View0.855Whig P.; Kasula B.Y.; Bhatia A.B.; Nadikattu R.R.; Sharma P.Digital Twin-Enabled Solution For Smart City ApplicationsTransforming Industry using Digital Twin Technology (2024)
40200 View0.853Ndaguba E.; Cilliers J.; Ghosh S.; Herath S.; Mussi E.T.Operability Of Smart Spaces In Urban Environments: A Systematic Review On Enhancing Functionality And User ExperienceSensors, 23, 15 (2023)