Zafar / Bhushan / Terashima-Marin / Wajid

Digital Twins for Smart Cities and Urban Planning

From Virtual to Reality

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Buch. Hardcover

2025

328 S. 59 s/w-Abbildungen, 25 s/w-Fotos, 34 s/w-Zeichnungen, 6 s/w-Tabelle.

In englischer Sprache

Taylor & Francis Ltd. ISBN 978-1-03-283631-7

Format (B x L): 15.6 x 23.4 cm

Produktbeschreibung

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 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.

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