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Digital Twins for Smart Cities and Villages /

Digital Twins for Smart Cities and Villages provides a holistic view of digital twin technology and how it can be deployed to develop smart cities and smart villages.Smart manufacturing, smart healthcare, smart education, smart agriculture, smart rural solutions, and related methodologies using digi...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Iyer, Sailesh (Sailesh Suryanarayan), 1973- (Editor), Nayyar, Anand, Paul, Anand, Naved, Mohd
Format: eBook
Language:English
Published: Amsterdam ; Cambridge, MA : Elsevier, [2025]
Subjects:
Smart cities.
Digital twins (Computer simulation)
Villes intelligentes.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Digital Twins for Smart Cities and Villages
  • Digital Twins for Smart Cities and Villages
  • Copyright
  • Contents
  • Contributors
  • About the editors
  • Preface
  • 1
  • Digital twin technology fundamentals
  • 1.1 Introduction
  • Objectives of the chapter
  • Organization of chapter
  • 1.2 Fundamentals of digital twin technology
  • 1.2.1 Key components and architecture
  • 1.2.1.1 Data models
  • 1.2.1.2 Sensors and IoT devices
  • 1.2.1.3 Data integration and processing
  • 1.2.1.4 Simulation and analytics engine
  • 1.2.1.5 User interface and visualization tools
  • 1.2.2 Data collection and management
  • 1.2.2.1 Data collection mechanisms
  • 1.2.2.2 Data integration and standardization
  • 1.2.2.3 Data processing and storage
  • 1.2.2.4 Data security and privacy
  • 1.2.2.5 Data management strategies
  • 1.2.3 Real-time simulation and analysis
  • 1.2.3.1 Fundamentals of real-time simulation
  • 1.2.3.2 Data-driven analysis and predictive modeling
  • 1.2.3.3 Integration with IoT and sensor technology
  • 1.2.3.4 Challenges in real-time simulation
  • 1.2.3.5 Applications and implications
  • 1.3 Applications across industries
  • 1.3.1 Manufacturing and engineering
  • 1.3.1.1 Enhancing product design and development
  • 1.3.1.2 Optimizing production processes
  • 1.3.1.3 Predictive maintenance and downtime reduction
  • 1.3.1.4 Quality control and monitoring
  • 1.3.1.5 Customization and personalization
  • 1.3.2 Healthcare and biotechnology
  • 1.3.2.1 Personalized medicine and patient care
  • 1.3.2.2 Surgical planning and simulation
  • 1.3.2.3 Medical device design and testing
  • 1.3.2.4 Drug development and pharmacological research
  • 1.3.2.5 Disease modeling and epidemiology
  • 1.3.3 Urban planning and smart cities
  • 1.3.3.1 City-wide infrastructure planning and management
  • 1.3.3.2 Traffic and transportation optimization
  • 1.3.3.3 Environmental monitoring and sustainability
  • 1.3.3.4 Disaster preparedness and response
  • 1.3.3.5 Enhancing citizen engagement and services
  • 1.4 Challenges in implementing digital twins
  • 1.4.1 Data integration issues
  • 1.4.2 Scalability concerns
  • 1.4.3 Security and privacy challenges
  • 1.5 Case studies
  • 1.5.1 Manufacturing efficiency improvements
  • 1.5.2 Healthcare predictive modeling
  • 1.5.3 Smart city optimization
  • 1.6 Integrating AI and machine learning
  • 1.6.1 Enhanced predictive capabilities
  • 1.6.2 Autonomous system optimization
  • 1.6.3 Data-driven decision-making
  • 1.7 Future directions and research opportunities
  • 1.7.1 Emerging applications in sustainable energy
  • 1.7.2 Advancements in virtual and augmented reality
  • 1.7.3 Ethical and regulatory considerations
  • 1.8 Conclusion and future scope
  • Abbreviations
  • References
  • 2
  • Research advancements in quantum computing digital twins
  • 2.1 Introduction to digital twins in smart cities and villages
  • 2.1.1 Understanding quantum computing
  • Objectives of the chapter