Book description
Provides the foundations and principles needed for addressing the various challenges of developing smart cities
Smart cities are emerging as a priority for research and development across the world. They open up significant opportunities in several areas, such as economic growth, health, wellness, energy efficiency, and transportation, to promote the sustainable development of cities. This book provides the basics of smart cities, and it examines the possible future trends of this technology. Smart Cities: Foundations, Principles, and Applications provides a systems science perspective in presenting the foundations and principles that span multiple disciplines for the development of smart cities.
Divided into three parts—foundations, principles, and applications—Smart Cities addresses the various challenges and opportunities of creating smart cities and all that they have to offer. It also covers smart city theory modeling and simulation, and examines case studies of existing smart cities from all around the world. In addition, the book:
- Addresses how to develop a smart city and how to present the state of the art and practice of them all over the world
- Focuses on the foundations and principles needed for advancing the science, engineering, and technology of smart cities—including system design, system verification, real-time control and adaptation, Internet of Things, and test beds
- Covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and Intelligent Transportation Systems (ITS) for improved mobility, safety, and environmental protection
Smart Cities: Foundations, Principles, and Applications is a welcome reference for the many researchers and professionals working on the development of smart cities and smart city-related industries.
Table of contents
- Cover
- Title Page
- Copyright
- Editors Biographies
- List of Contributors
- Foreword
- Preface
- Acknowledgments
-
Chapter 1: Cyber–Physical Systems in Smart Cities – Mastering Technological, Economic, and Social Challenges
- 1.1 Introduction
- 1.2 Setting the Scene: Demarcating the Smart City and Cyber–Physical Systems
- 1.3 Process Fields of CPS-Driven Smart City Development
- 1.4 Economic and Social Challenges of Implementing the CPS-Enhanced Smart City
- 1.5 Conclusions: Suggestions for Planning the CPS-Driven Smart City
- Final Thoughts
- Questions
- References
-
Chapter 2: Big Data Analytics Processes and Platforms Facilitating Smart Cities
- 2.1 Introduction
- 2.2 Why Big Data Analytics (BDA) Is Significant for Smarter Cities
- 2.3 Describing the Big Data Paradigm
- 2.4 The Prominent Sources of Big Data
- 2.5 Describing Big Data Analytics (BDA)
- 2.6 The Big Trends and Use Cases of Big Data Analytics
- 2.7 The Open Data for Next-Generation Cities
- 2.8 The Big Data Analytics (BDA) Platforms
- 2.9 Big Data Analytics Frameworks and Infrastructure
- 2.10 Summary
- Final Thoughts
- Questions
- References
- Chapter 3: Multi-Scale Computing for a Sustainable Built Environment
- Chapter 4: Autonomous Radios and Open Spectrum in Smart Cities
- Chapter 5: Mobile Crowd-Sensing for Smart Cities
- Chapter 6: Wide-Area Monitoring and Control of Smart Energy Cyber-Physical Systems (CPS)
- Chapter 7: Smart Technologies and Vehicle-to-X (V2X) Infrastructures for Smart Mobility Cities
-
Chapter 8: Smart Ecology of Cities: Integrating Development Impacts on Ecosystem Services for Land Parcels
- 8.1 Introduction
- 8.2 Need for Smart Ecology of Cities
- 8.3 Ecosystem Service Modeling (CO2 Sequestration, PM10 Filtration, Drainage)
- 8.4 Methodology
- 8.5 Implementation of Development Impacts in Dynamic-SIM Platform
- 8.6 Discussion (Assumptions, Limitations, and Future Work)
- 8.7 Conclusion
- Final Thoughts
- Questions
- References
- Chapter 9: Data-Driven Modeling, Control, and Tools for Smart Cities
- Chapter 10: Bringing Named Data Networks into Smart Cities
- Chapter 11: Human Context Sensing in Smart Cities
- Chapter 12: Smart Cities and the Symbiotic Relationship between Smart Governance and Citizen Engagement
- Chapter 13: Smart Economic Development
- Chapter 14: Managing the Cyber Security Life-Cycle of Smart Cities
- Chapter 15: Mobility as a Service
-
Chapter 16: Clustering and Fuzzy Reasoning as Data Mining Methods for the Development of Retrofit Strategies for Building Stocks
- 16.1 Introduction
- 16.2 Method
- 16.3 Application Case
- 16.4 Data Sources and Preprocessing
- 16.5 Clustering
- 16.6 Fuzzy Reasoning
- 16.7 Mixed Fuzzy Reasoning and Clustering
- 16.8 Postprocessing: Interpretation and Strategy Identification
- 16.9 Comparison and Discussion of Methods
- 16.10 Conclusion
- Final Thoughts
- Questions
- Acknowledgments
- References
-
Chapter 17: A Framework to Achieve Large Scale Energy Savings for Building Stocks through Targeted Occupancy Interventions
- 17.1 Introduction
- 17.2 Objectives
- 17.3 Review of Occupancy-Focused Energy Efficiency Interventions
- 17.4 Role of Occupants' Characteristics in Building Energy Use
- 17.5 A Conceptual Framework for Delivering Targeted Occupancy-Focused Interventions
- 17.6 Case Study Example
- 17.7 Discussion
- 17.8 Conclusions and Policy Implications
- Questions
- Acknowledgment
- References
- Chapter 18: Sustainability in Smart Cities: Balancing Social, Economic, Environmental, and Institutional Aspects of Urban Life
- Chapter 19: Toward Resilience of the Electric Grid
- Chapter 20: Smart Energy and Grid: Novel Approaches for the Efficient Generation, Storage, and Usage of Energy in the Smart Home and the Smart Grid Linkup
- Chapter 21: Building Cyber-Physical Systems – A Smart Building Use Case
- Chapter 22: Climate Resilience and the Design of Smart Buildings
- Chapter 23: Smart Audio Sensing-Based HVAC Monitoring
- Chapter 24: Smart Lighting
-
Chapter 25: Large Scale Air-Quality Monitoring in Smart and Sustainable Cities
- 25.1 Introduction
- 25.2 Current Approaches to Air Quality Monitoring and Their Limitations
- 25.3 Overview of a Cloud-based Air Quality Monitoring System
- 25.4 Cloud-Connected Air Quality Monitors
- 25.5 Cloud-Side System Design and Considerations
- 25.6 Data Analytics in the Cloud
- 25.7 Applications and APIs
- Final Thoughts
- Questions
- References
- Chapter 26: The Smart City Production System
- Chapter 27: Smart Health Monitoring Using Smart Systems
-
Chapter 28: Significance of Automated Driving in Japan
- 28.1 Introduction
- 28.2 Definitions of Automated Driving Systems
- 28.3 A History of Research and Development of Automated Driving Systems
- 28.4 Expected Benefits of Automated Driving
- 28.5 Issues of Automated Driving for Market Introduction
- 28.6 Possible Market Introduction of Automated Driving Systems in Japan
- 28.7 Conclusion
- Questions
- References
- Chapter 29: Environmental-Assisted Vehicular Data in Smart Cities
- Index
- End User License Agreement
Product information
- Title: Smart Cities
- Author(s):
- Release date: July 2017
- Publisher(s): Wiley
- ISBN: 9781119226390
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