Digital Twin Technologies and Smart Cities

  • Maryam Farsi
  • Alireza Daneshkhah
  • Amin Hosseinian-Far
  • Hamid Jahankhani

Part of the Internet of Things book series (ITTCC)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Digital Twins and Smart Cities

  3. Internet of Things, the Digital Twin Enabler

    1. Front Matter
      Pages 93-93
    2. Aniruddha Bhattacharjya, Xiaofeng Zhong, Jing Wang, Xing Li
      Pages 95-122
    3. Hany F. Atlam, Gary B. Wills
      Pages 123-149
    4. Mohsen Esmaeilbeigi, Alireza Daneshkhah, Omid Chatrabgoun
      Pages 177-189
    5. Aniruddha Bhattacharjya, Xiaofeng Zhong, Jing Wang, Xing Li
      Pages 191-212

About this book


This book provides a holistic perspective on Digital Twin (DT) technologies, and presents cutting-edge research in the field. It assesses the opportunities that DT can offer for smart cities, and covers the requirements for ensuring secure, safe and sustainable smart cities. Further, the book demonstrates that DT and its benefits with regard to:  

  • data visualisation, real-time data analytics, and learning leading to improved confidence in decision making;
  • reasoning, monitoring and warning to support accurate diagnostics and prognostics;
  • acting using edge control and what-if analysis; and
  • connection with back-end business applications 

hold significant potential for applications in smart cities, by employing a wide range of sensory and data-acquisition systems in various parts of the urban infrastructure. 

The contributing authors reveal how and why DT technologies that are used for monitoring, visualising, diagnosing and predicting in real-time are vital to cities’ sustainability and efficiency. The concepts outlined in the book represents a city together with all of its infrastructure elements, which communicate with each other in a complex manner. Moreover, securing Internet of Things (IoT) which is one of the key enablers of DT’s is discussed in details and from various perspectives. 

The book offers an outstanding reference guide for practitioners and researchers in manufacturing, operations research and communications, who are considering digitising some of their assets and related services. It is also a valuable asset for graduate students and academics who are looking to identify research gaps and develop their own proposals for further research.


Digital Twins Internet of Things Smart Cities Asset Management Artificial Intelligence Digital Twin visualization Visualization solution for smart cities Digital twin city Real-time analysis of city data Diagnosing sustainability of cities Predicting efficiency of cities

Editors and affiliations

  • Maryam Farsi
    • 1
  • Alireza Daneshkhah
    • 2
  • Amin Hosseinian-Far
    • 3
  • Hamid Jahankhani
    • 4
  1. 1.Through-life Engineering Services InstituteCranfield UniversityCranfieldUK
  2. 2.Faculty of Engineering, Environment and ComputingCoventry UniversityCoventry, West MidlandsUK
  3. 3.Department of Business Systems and OperationsUniversity of NorthamptonNorthamptonUK
  4. 4.Northumbria University, LondonLondon, Greater LondonUK

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-030-18731-6
  • Online ISBN 978-3-030-18732-3
  • Series Print ISSN 2199-1073
  • Series Online ISSN 2199-1081
  • Buy this book on publisher's site