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.

Autorentext

HOUBING SONG, PhD is an Assistant Professor at Embry-Riddle Aeronautical University and the Director of Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). RAVI SRINIVASAN, PhD is an Assistant Professor at University of Florida. TAMIM SOOKOOR, PhD is a Senior Professional Staff at The Johns Hopkins University Applied Physics Laboratory, Laurel. SABINA JESCHKE, Dr. rer. nat. is a Professor at RWTH Aachen University, Germany and Visiting Professor at Volvo, Sweden.

Inhalt

Editors Biographies xxiii List of Contributors xxvii Foreword xxxiii Preface xxxv Acknowledgments xxxvii 1 Cyber-Physical Systems in Smart Cities - Mastering Technological, Economic, and Social Challenges 1 Martina Fromhold-Eisebith 1.1 Introduction 1 1.2 Setting the Scene: Demarcating the Smart City and Cyber-Physical Systems 3 1.3 Process Fields of CPS-Driven Smart City Development 4 1.4 Economic and Social Challenges of Implementing the CPS-Enhanced Smart City 10 1.5 Conclusions: Suggestions for Planning the CPS-Driven Smart City 15 FinalThoughts 17 Questions 18 References 18 2 Big Data Analytics Processes and Platforms Facilitating Smart Cities 23 Pethuru Raj and Sathish A. P. Kumar 2.1 Introduction 24 2.2 Why Big Data Analytics (BDA) Is Significant for Smarter Cities 24 2.3 Describing the Big Data Paradigm 26 2.4 The Prominent Sources of Big Data 27 2.5 Describing Big Data Analytics (BDA) 29 2.6 The Big Trends and Use Cases of Big Data Analytics 31 2.7 The Open Data for Next-Generation Cities 38 2.8 The Big Data Analytics (BDA) Platforms 39 2.9 Big Data Analytics Frameworks and Infrastructure 45 2.10 Summary 51 FinalThoughts 51 References 52 3 Multi-Scale Computing for a Sustainable Built Environment 53 Massimiliano Manfren 3.1 Introduction 53 3.2 Modeling and Computing for Sustainability Transitions 55 3.3 Multi-ScaleModeling and Computing for the Built Environment 66 3.4 Research inModeling and Computing for the Built Environment 70 FinalThoughts 82 Questions 84 References 84 4 Autonomous Radios and Open Spectrum in Smart Cities 99 Corey D. Cooke and Adam L. Anderson 4.1 Introduction 99 4.2 CandidateWireless Technologies 101 4.3 PHY and MAC Layer Issues in Cognitive Radio Networks 105 4.4 Frequency Envelope Modulation (FEM) 110 4.5 Conclusion 116 FinalThoughts 117 Questions 118 References 118 5 Mobile Crowd-Sensing for Smart Cities 125 Chandreyee Chowdhury and Sarbani Roy 5.1 Introduction 125 5.2 Overview of Mobile Crowd-Sensing 127 5.3 Issues and Challenges of Crowd-sensing in Smart Cities 135 5.4 Crowd-sensing Frameworks for Smart City 144 5.5 Conclusion 149 FinalThoughts 149 Questions 150 References 150 6 Wide-AreaMonitoring and Control of Smart Energy Cyber-Physical Systems (CPS) 155 Nilanjan R. Chaudhuri 6.1 Introduction 155 6.2 Challenges and Opportunities 156 6.3 Solutions 159 6.4 Conclusions and Future Direction 173 FinalThoughts 175 Questions 175 References 175 7 Smart Technologies and Vehicle-to-X (V2X) Infrastructures for Smart Mobility Cities 181 Bernard Fong, Lixin Situ, and Alvis C. M. Fong 7.1 Introduction 181 7.2 Data Communications in Smart City Infrastructure 182 7.3 Deployment: An Economic Point of View 186 7.4 Connected Cars 195 7.5 Concluding Remarks 202 FinalThoughts 203 Questions 203 References 204 8 Smart Ecology of Cities: Integrating Development Impacts on EcosystemServices for Land Parcels 209 Marc Morrison, Ravi S. Srinivasan, and Cynnamon Dobbs 8.1 Introduction 209 8.2 Need for Smart Ecology of Cities 212 8.3 Ecosystem Service Modeling (CO2 Sequestration, PM10 Filtration, Drainage) 214 8.4 Methodology 219 8.5 Implementation of Development Impacts in Dynamic-SIM Platform 231 8.6 Discussion (Assumptions, Limitations, and FutureWork) 234 8.7 Conclusion 235 FinalThoughts 236 Questions 236 References 236 9 Data-Driven Modeling, Control, and Tools for Smart Cities 243 Madhur Behl and Rahul Mangharam 9.1 Introduction 243 9.2 RelatedWork 248 9.3 Problem Definition 250 9.4 Data-Driven Demand Response 252 9.5 DR Synthesis with Regression Trees 254 9.6 The Case for Using Regression Trees for Demand Response 259 9.7 DR-Advisor: Toolbox Design 261 9.8 Case Study 263 9.9 Conclusions and OngoingWork 271 References 272 10 Bringing Named Data Networks into Smart Cities 275 Syed Hassan Ahmed, Safdar Hussain Bouk, Dongkyun Kim, and Mahasweta Sarkar 10.1 Introduction 275 10.2 Future Internet Architectures 278 10.3 Named Data Networking (NDN) 282 10.4 NDN-based Application Scenarios for Smart Cities 285 10.5 Future Aspects of NDN in Smart Cities 297 10.6 Conclusion 303 FinalThoughts 304 Questions 304 References 304 11 Human Context Sensing in Smart Cities 311 Juhi Ranjan and KaminWhitehouse 11.1 Introduction 311 11.2 Human Context Types 312 11.3 Sensing Technologies 317 11.4 Conclusion 331 FinalThoughts 332 Questions 332 References 333 12 Smart Cities and the Symbiotic Relationship between Smart Governance and Citizen Engagement 343 Tori Onker 12.1 Smart Governance 344 12.2 Case Study - Somerville, Massachusetts 348 12.3 Looking Ahead 365 FinalThoughts 368 Questions 370 References 370 13 Smart Economic Development 373 Madhavi Venkatesan 13.1 Introduction 373 13.2 Perception of Resource Value, Market Outcomes, and Price 378 13.3 Conscious Consumption and the Sustainability Foundation of Smart Cities 384 FinalThoughts 388 Questions 388 References 388 14 Managing the Cyber Security Life-Cycle of Smart Cities 391 Mridul S. Barik, Anirban Sengupta, and Chandan Mazumdar 14.1 Introduction 391 14.2 Smart City Services 393 14.3 Smart Services Technologies 394 14.4 Smart Services Security Issues 396 14.5 Management of Cyber Security of Smart Cities 397 14.6 Discussion 403 14.7 Conclusion 404 Questions 404 References 405 15 Mobility as a Service 409 Christopher Expósito-Izquierdo, Airam Expósito-Márquez, and Julio Brito-Santana 15.1 Introduction 409 15.2 Mobility as a Service 413 15.3 Case Studies on Mobility as a Service 427 15.4 Conclusions and Further Research 432 Acknowledgments 433 FinalThoughts 433 Questions 433 References 434 16 Clustering and Fuzzy Reasoning as Data Min…