Digital Twin Applications in Smart Cities: A Systematic Review
Abstract
The accelerated urbanization process in the 21st century has necessitated faster implementation of smart city solutions that deploy digital solutions and promote efficiency, sustainability, and well-being of the population. One of them, the concept of digital twin (DT), has turned out to be a game-changer. A computer simulated physically stimulable and controllable systems or processes A digital twin is the computer simulation of a real-world physical asset. The urban simulation enables DTs to furnish city planners and policymakers with realistically detailed information on how they might maximize resource use, resiliency, and sustainability. The current paper is a systematic review of digital twin technologies in smart cities, specifically, how these technologies can be used in the domains of energy management, transportation, infrastructure monitoring, citizen engagement and public safety. The paper is a review of the academic and business studies, their advantages and disadvantages. Internet of Things (IoT), artificial intelligence (AI), and 5G networks are the technologies that may facilitate the adoption of DTs in the field of predictive maintenance of utilities, traffic optimization, and disaster management. The second interpretation of the results is that the digital twins will enable the adoption of data-driven governance and urban development. Other issues, however, still limit it, including high cost of implementation, interoperability, data privacy, and…
How strong is the evidence?
Evidence Hub reads this as a systematic review. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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