Chun Ho Wu, George To Sum Ho, Fatos Xhafa, Andrew W. H. Ip, Reinout van Hille

Collective Intelligence for Smart Cities (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Collective Intelligence for Smart Cities begins with an overview of the fundamental issues and concepts of smart cities. Surveying the current state-of-the-art research in the field, the book delves deeply into key smart city developments such as health and well-being, transportation, safety, energy, environment and sustainability. In addition, the book focuses on the role of IoT cloud computing and big data, specifically in smart city development. Users will find a unique, overarching perspective that ties together these concepts based on collective intelligence, a concept for quantifying mass activity familiar to many social science and life science researchers.Sections explore how group decision-making emerges from the consensus of the collective, collaborative and competitive activities of many individuals, along with future perspectives.

• Provides collective intelligence-based solutions to enhance smart city well-being
• Recommends strategies to ensure smart city sustainability and optimization, including smart transportation
• Considers cloud-based data processing approaches for managing data collected from smart city applications
• Uses case studies to shows successful application in a variety of smart city contexts

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Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 244
• Erscheinungstermin: 26. Mai 2022
• Englisch
• ISBN-13: 9780128202753
• Artikelnr.: 64100333

Autorenporträt

Wu Chun Ho works in the Department of Supply Chain and Information Management at The Hang Seng University of Hong Kong, Shatin, N.T. Hong Kong.

Inhaltsangabe

1. Fundamentals
2. State-of-the-art research and development on smart city
3. IoT Cloud Computing for smart city development
4. Big Data Collective intelligence-based solutions in smart city
5. Well-being
6. Smart Transportation
7. Smart City Sustainability
8. Smart Environment and Safety
9. Case studies and Applications
10. Conclusions and future directions of research