Applications, Insights and Implications of Digital Twins in Smart City Management

Ersan, Mustafa; Irmak, Erdal; Colak, Alperen Mustafa

doi:10.1109/icsmartgrid61824.2024.10578291

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2024

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Cited by 3 publications

References 27 publications

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Analysis of Business Model of Co-Creation Digital-Twin City Using Evolutionary Game

Kondo,

Kamiyama

2024

2024 IEEE Cyber Science and Technology Congress (CyberSciTech)

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Analysis of Business Model of Co-Creation Digital-Twin City Using Evolutionary Game

Kondo,

Kamiyama

2024

2024 IEEE Cyber Science and Technology Congress (CyberSciTech)

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Efficient Machine Learning Methods for Real-Time Transport System Optimization and Predictive Maintenance

Kuftinova,

Ostroukh,

Maksimychev

et al. 2024

2024 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED)

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AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

Alnaser,

Maxi,

Elmousalami

2024

Applied Sciences

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This systematic literature review explores the intersection of AI-driven digital twins and IoT in creating a sustainable building environment. A comprehensive analysis of 125 papers focuses on four major themes. First, digital twins are examined in construction, facility management, and their role in fostering sustainability and smart cities. The integration of IoT and AI with digital twins and energy optimization for zero-energy buildings is discussed. Second, the application of AI and automation in manufacturing, particularly in Industry 4.0 and cyber-physical systems, is evaluated. Third, emerging technologies in urban development, including blockchain, cybersecurity, and EEG-driven systems for sustainable buildings, are highlighted. The study underscores the role of data-driven approaches in flood resilience and urban digital ecosystems. This review contributes to sustainability by identifying how digital technologies and AI can optimize energy use and enhance resilience in both urban and industrial contexts.

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Applications, Insights and Implications of Digital Twins in Smart City Management

Cited by 3 publications

References 27 publications

Analysis of Business Model of Co-Creation Digital-Twin City Using Evolutionary Game

Analysis of Business Model of Co-Creation Digital-Twin City Using Evolutionary Game

Efficient Machine Learning Methods for Real-Time Transport System Optimization and Predictive Maintenance

AI-Powered Digital Twins and Internet of Things for Smart Cities and Sustainable Building Environment

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