Digital Twin Technologies and Smart Cities

Maryam Farsi (Editor), Alireza Daneshkhah (Editor), Amin Hosseinian-Far (Editor), Hamid Jahankhani (Editor)

Research output: Book/Report typesBook

Abstract

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.
Original languageEnglish
Place of PublicationSwitzerland
PublisherSpringer
ISBN (Electronic)978-3-030-18732-3
ISBN (Print)978-3-030-18731-6
DOIs
Publication statusAccepted/In press - 26 Mar 2019

Publication series

NameInternet of Things
PublisherSpringer International Publishing AG

Fingerprint

Operations research
Data visualization
Monitoring
Sustainable development
Data acquisition
Decision making
Students
Communication
Smart city
Industry
Internet of things

Keywords

  • 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

Cite this

Farsi, M., Daneshkhah, A., Hosseinian-Far, A., & Jahankhani, H. (Eds.) (Accepted/In press). Digital Twin Technologies and Smart Cities. (Internet of Things). Switzerland: Springer. https://doi.org/10.1007/978-3-030-18732-3
Farsi, Maryam (Editor) ; Daneshkhah, Alireza (Editor) ; Hosseinian-Far, Amin (Editor) ; Jahankhani, Hamid (Editor). / Digital Twin Technologies and Smart Cities. Switzerland : Springer, 2020. (Internet of Things).
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Farsi, M, Daneshkhah, A, Hosseinian-Far, A & Jahankhani, H (eds) 2020, Digital Twin Technologies and Smart Cities. Internet of Things, Springer, Switzerland. https://doi.org/10.1007/978-3-030-18732-3

Digital Twin Technologies and Smart Cities. / Farsi, Maryam (Editor); Daneshkhah, Alireza (Editor); Hosseinian-Far, Amin (Editor); Jahankhani, Hamid (Editor).

Switzerland : Springer, 2020. (Internet of Things).

Research output: Book/Report typesBook

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Farsi M, (ed.), Daneshkhah A, (ed.), Hosseinian-Far A, (ed.), Jahankhani H, (ed.). Digital Twin Technologies and Smart Cities. Switzerland: Springer, 2020. (Internet of Things). https://doi.org/10.1007/978-3-030-18732-3