Digital Twin Computing for Urban Intelligence (eBook, PDF)

Redaktion: Pourroostaei Ardakani, Saeid; Cheshmehzangi, Ali

• Format: PDF

Produktbeschreibung

Digital Twin Computing for Urban Intelligence focuses on new and ongoing discourses in interdisciplinary research and practice in urban system and smart city development pathways. It approaches digital twin fundamentals and principals including theoretical foundations, conceptualisations, strategies and services/patterns to define and adapt digital twin solutions for urban applications - mainly sustainability.

This book highlights promising case studies and outlines digital twin design models and system architecture by examining key digital twin deployment practices such as data analysis, decision making, and service automation in the line with intelligent urban planning. It also emphasises on DT technologies such as cloud computing, AI, IoTs, and smart virtualisation and outlines the key benefits of the DT solutions in urban applications - mainly control and planning.

This book is intended for a wide range of audiences, including interested layperson audiences, undergraduate and graduate students in university, and researchers. The key benefits of this book are:

1- To introduce the theoretical principles and fundamentals of DT computing for urban intelligence.

2- To present the state-of-the-art DT technologies in urban planning and control.

3- To describe the practical deployment process of DT computing solutions for urban sustainability and intelligence.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 243
• Erscheinungstermin: 24. Dezember 2024
• Englisch
• ISBN-13: 9789819784837
• Artikelnr.: 72672195

Autorenporträt

Saeid Pourroostaei Ardakani currently works as a Senior Lecturer in Computer Science at the University of Lincoln, UK. He is also a member of MLearn research group at the University of Lincoln, and has formerly worked at the University of Nottingham (UNNC) and Allameh Tabatabai University (ATU) as an Assistant Professor in Computer Science. He received his PhD in Computer Science from the University of Bath focusing on data aggregation routing in Wireless Sensor Networks. Saeid's research and teaching expertise centres on smart and adaptive computing and/or communication solutions to build collaborative/federated (sensory/feedback)systems in Internet of Things (IoT) applications and cloud environments. Saeid has two academic books and published more than 80 scholarly articles in reputed international journals and peer-reviewed conferences.   Ali Cheshmehzangi is a Full Professor and Head of the School of Architecture, Design and Planning (ADP) at the University of Queensland, where he leads the School and researches across the fields of architecture, design, and planning/urbanism. He has been in the World's top 2 per cent field leader since 2022, recognised by Stanford University. He is among the top 30 global scholars in the urban sustainability research area. Ali has a wealth of experience, expertise, and a strong commitment to innovation and excellence in the fields of architecture, design, and planning, the three core disciplines of his School at UQ. With a career spanning over two decades, he has made significant contributions to the academic and professional communities, with a focus on sustainable and environmentally conscious design. So far, Ali has published over 500 journal papers, articles, conference papers, book chapters, and reports. He also has 28 other academic books, three of which have received awards at the national, provincial, and municipal levels. He also has received international awards and recognition for his research on urban resilience studies and sustainability research, as well as a Vice-Chancellor's award for his impactful contribution to higher education.

Inhaltsangabe

Embracing the Digital Twin Paradigm for Urban Sustainability.- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review.- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions.- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence.- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy.