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Title Digital Twins For Smart Cities And Urban Planning: From Virtual To Reality
ID_Doc 20284
Authors Wajid M.S.; Terashima-Marín H.; Zafar A.; Wajid M.A.; Bhushan B.
Year 2025
Published Digital Twins for Smart Cities and Urban Planning: From Virtual to Reality
DOI http://dx.doi.org/10.1201/9781003510338
Abstract This book discusses the concept of the digital twin, which has the potential to change how systems are managed and created. It also discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks. Digital Twin for Smart Cities and Urban Planning: From Virtual to Reality provides practitioners with concrete problem-solving methodologies while covering the most recent and cutting-edge digital twin application technologies in diverse fields. It highlights the benefits of digital twins in terms of data visualization, real-time data analytics, and learning, which leads to increased confidence in decision-making. The book discusses the metaverse as a new technology with literary roots, cross-platform avatars, and artificial intelligence-related cybersecurity risks. It also evaluates the opportunities that DT can provide for smart cities and discusses the prerequisites for secure, safe, and sustainable smart cities. It also explores the mix between the industrial Internet of Things, artificial intelligence, machine learning, and software analytics with spatial network graphs to construct living digital simulation models that update and alter in response to changes in their physical counterparts. The chapters also focus on digital twin driven smart design which establishes a foundation for the adoption of digital twin technology in product design by drawing on the most recent industry practice and research. The book is an excellent resource for practitioners and scholars in manufacturing, operations research, and communications who are thinking about digitizing their assets and related services. It is also a helpful resource for graduate students and academics looking to better understand pioneering digital twins technologies. © 2025 selection and editorial matter, Mohammad Saif Wajid, Hugo Terashima-Marín, Aasim Zafar, Mohd Anas Wajid, and Bharat Bhushan; individual chapters, the contributors. All rights reserved.
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