| Title | Virtual Reality and Internet of Things Based Digital Twin for Smart City Cross-Domain Interoperability |
|---|---|
| ID_Doc | 38681 |
| Authors | del Campo, G; Saavedra, E; Piovano, L; Luque, F; Santamaria, A |
| Title | Virtual Reality and Internet of Things Based Digital Twin for Smart City Cross-Domain Interoperability |
| Year | 2024 |
| Published | Applied Sciences-Basel, 14, 7 |
| Abstract | Featured Application Management of Smart City services using Digital Twin concept with the integration of Internet of Things and Virtual Reality. Special focus in interoperability to enable cross-service applications.Abstract The fusion of Internet of Things (IoT), Digital Twins, and Virtual Reality (VR) technologies marks a pivotal advancement in urban development, offering new services to citizens and municipalities in urban environments. This integration promises enhanced urban planning, management, and engagement by providing a comprehensive, real-time digital reflection of the city, enriched with immersive experiences and interactive capabilities. It enables smarter decision-making, efficient resource management, and personalized citizen services, transforming the urban landscape into a more sustainable, livable, and responsive environment. The research presented herein focuses on the practical implementation of a DT concept for managing cross-domain smart city services, leveraging VR technology to create a virtual replica of the urban environment and IoT devices. Imperative for cross-domain city services is interoperability, which is crucial not only for the seamless operation of these advanced tools but also for unlocking the potential of cross-service applications. Through the deployment of our model at the IoTMADLab facilities, we showcase the integration of IoT devices within varied urban infrastructures. The outcomes demonstrate the efficacy of VR interfaces in simplifying complex interactions, offering pivotal insights into device functionality, and enabling informed decision-making processes. |
| https://www.mdpi.com/2076-3417/14/7/2747/pdf?version=1711379664 |
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