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.
1. Introduction - p. xxi 2. Chapter One. Data streams—Concepts, definitions, models and applications in smart cities - p. 1 3. Chapter Two. Stream processing in the semantic web - p. 27 4. Chapter Three. State-of-the-art research and development on Smart City - p. 52 5. Chapter Four. Internet of things (IoT), cloud computing, and big data collective intelligence for smart cities - p. 67 6. Chapter Five. Smart energy network - p. 85 7. Chapter Six. Smart firefighting and fire protection - p. 103 8. Chapter Seven. Smart parking using mobile and IoT - p. 121 9. Chapter Eight. Crane selection for project cargo - p. 139 10. Chapter Nine. Transport, mobility, and delivery in smart cities: The vision of the TransAnalytics research project - p. 155 11. Blockchain in a Smart City: Its applications and a selection framework - p. 173 12. Chapter Eleven. Conclusions and future directions of research - p. 211 13. Acronyms and glossary - p. 213 14. Index - p. 217
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.
1. Introduction - p. xxi 2. Chapter One. Data streams—Concepts, definitions, models and applications in smart cities - p. 1 3. Chapter Two. Stream processing in the semantic web - p. 27 4. Chapter Three. State-of-the-art research and development on Smart City - p. 52 5. Chapter Four. Internet of things (IoT), cloud computing, and big data collective intelligence for smart cities - p. 67 6. Chapter Five. Smart energy network - p. 85 7. Chapter Six. Smart firefighting and fire protection - p. 103 8. Chapter Seven. Smart parking using mobile and IoT - p. 121 9. Chapter Eight. Crane selection for project cargo - p. 139 10. Chapter Nine. Transport, mobility, and delivery in smart cities: The vision of the TransAnalytics research project - p. 155 11. Blockchain in a Smart City: Its applications and a selection framework - p. 173 12. Chapter Eleven. Conclusions and future directions of research - p. 211 13. Acronyms and glossary - p. 213 14. Index - p. 217
