An Architecture and Realisation of a Smart City Digital Twin With eHealth Case Studies
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| Yayımlandı: | IET Smart Cities vol. 7, no. 1 (Jan/Dec 2025) |
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| Yazar: | |
| Diğer Yazarlar: | , , |
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John Wiley & Sons, Inc.
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| Online Erişim: | Citation/Abstract Full Text Full Text - PDF |
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| 001 | 3286227250 | ||
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| 022 | |a 2631-7680 | ||
| 024 | 7 | |a 10.1049/smc2.70006 |2 doi | |
| 035 | |a 3286227250 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 100 | 1 | |a Jayachandran, Nandana |u Department of Electrical and Communication Engineering, College of Engineering, UAE University, Al Ain, UAE | |
| 245 | 1 | |a An Architecture and Realisation of a Smart City Digital Twin With eHealth Case Studies | |
| 260 | |b John Wiley & Sons, Inc. |c Jan/Dec 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a ABSTRACT Digital twinning is an advanced technology that involves creating virtual replicas of various physical systems. In smart cities, digital twins serve as digital representations that model and simulate various urban elements, such as environment protection (e.g., air quality), critical infrastructure, transportation networks and other urban management processes. It has recently gained considerable attention for its transformative potential, enabling city authorities to visualise and analyse complex city dynamics for better‐informed decision‐making. Therefore, this paper proposes a simplified layered architecture for smart city digital twins. The layers of the proposed architecture cover the range of operations required by the functionality of the digital twin and the interaction between them, from data transfer or synthesis to big data streaming and intelligent analytics. The paper also introduces an open‐source software tool that realises the proposed architecture, with each layer designed as an independent Python module for easy integration and maintenance. Three case studies are used to demonstrate the capabilities of the tool. One use case addresses short‐term forecasting of the air quality index, whereas the other use case targets the detection of an individual's respiratory condition based on data received from wearable devices. The third case combines the other two cases to offer a warning system for residents with medical conditions based on air quality. The results of the case studies show the tool's ability to effectively handle environment and eHealth‐related use cases and combine them for the welfare of smart city residents, leading to a more resilient health‐focused urban landscape. | |
| 653 | |a Data transfer (computers) | ||
| 653 | |a Urban environments | ||
| 653 | |a Predictive analytics | ||
| 653 | |a Big Data | ||
| 653 | |a Telemedicine | ||
| 653 | |a Open source software | ||
| 653 | |a Chronic illnesses | ||
| 653 | |a Cities | ||
| 653 | |a Transportation networks | ||
| 653 | |a Warning systems | ||
| 653 | |a Wearable technology | ||
| 653 | |a Data analysis | ||
| 653 | |a Data transmission | ||
| 653 | |a Outdoor air quality | ||
| 653 | |a Privacy | ||
| 653 | |a Traffic congestion | ||
| 653 | |a Internet of Things | ||
| 653 | |a Case studies | ||
| 653 | |a Smart cities | ||
| 653 | |a Public domain | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Sustainable development | ||
| 653 | |a Digital transformation | ||
| 653 | |a Environmental protection | ||
| 653 | |a Digital twins | ||
| 653 | |a Sensors | ||
| 653 | |a Target detection | ||
| 653 | |a Public health | ||
| 653 | |a Air quality | ||
| 653 | |a Architecture | ||
| 653 | |a Software | ||
| 653 | |a Critical infrastructure | ||
| 700 | 1 | |a Abdrabou, Atef |u Department of Electrical and Communication Engineering, College of Engineering, UAE University, Al Ain, UAE | |
| 700 | 1 | |a Al Bataineh, Mohammad |u Department of Electrical and Communication Engineering, College of Engineering, UAE University, Al Ain, UAE | |
| 700 | 1 | |a Noordin, Kamarul Ariffin |u Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia | |
| 773 | 0 | |t IET Smart Cities |g vol. 7, no. 1 (Jan/Dec 2025) | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3286227250/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3286227250/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3286227250/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |