An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications. Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.

An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications. Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.

This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.

This edited book is a collection of quality research articles reporting research advances in the area of deep learning, IoT and urban computing. It describes new insights based on deep learning and IoT for urban computing and is useful for architects, engineers, policymakers, facility managers, academicians, and researchers who are interested in expanding their knowledge of the applications of deep learning trends involving urban computing.

This book discusses various machine learning applications and models, developed using heterogeneous data, which helps in a comprehensive prediction, optimization, association analysis, cluster analysis and classification-related applications for various activities in urban area. It details multiple types of data generating from urban activities and suitability of various machine learning algorithms for handling urban data. The book is helpful for researchers, academicians, faculties, scientists and geospatial industry professionals for their research work and sets new ideas in the field of urban computing.

In recent years, the presence of ubiquitous computing has increasingly integrated into the lives of people in modern society. As these technologies become more pervasive, new opportunities open for making citizens’ environments more comfortable, convenient, and efficient. Enriching Urban Spaces with Ambient Computing, the Internet of Things, and Smart City Design is a pivotal reference source for the latest scholarly material on the interaction between people and computing systems in contemporary society, showcasing how ubiquitous computing influences and shapes urban environments. Highlighting the impacts of these emerging technologies from an interdisciplinary perspective, this book is ideally designed for professionals, researchers, academicians, and practitioners interested in the influential state of pervasive computing within urban contexts.

This book constitutes the proceedings of the Second International Conference on Security-Enriched Urban Computing and Smart Grid, held in Hualien, Taiwan, in September 2011. The 35 revised full papers presented together with two invited papers were carefully reviewed and selected from 97 submissions. Among the topics covered are the internet of things, mobile networks, wireless networks, service-oriented computing, data-centric computing, voice over IP, cloud computing, privacy, smart grid systems, distributed systems, agent-based systems, assistive technology, social networks, and wearable computing.

Security-enriched urban computing and smart grids are areas that attracted many a- demic and industry professionals to research and develop. The goal of this conference was to bring together researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of urban computing and the smart grid. This conference includes the following special sessions: Signal Processing, Image Processing, Pattern Recognition and Communications (SIPC 2010), Networking, Fault-tolerance and Security For Distributed Computing Systems (NFSDCS 2010), Security Technology Application (STA 2010), Electric Transportation (ElecTrans 2010), Techniques of Bi-directional Power Computing in High Voltage Power Supply (TBPC 2010), Low Power IT and Applications (LPITA 2010), Computational Intel- gence and Soft Computing (CISC 2010), Distributed Computing and Sensor Networks (DCSN 2010), Advanced Fusion IT (AFIT 2010), Social Media and Social Netwo- ing (SMSN 2010), Software Engineering and Medical Information Engineering (SEMIE 2010), Human-Centered Advanced Research/Education (HuCARE 2010), Database Integrity and Security (DIS 2010), Ubiquitous IT Application (UITA 2010) and Smart Grid Applications (SGA 2010). We would like to express our gratitude to all of the authors of the submitted papers and to all attendees, for their contributions and participation. We believe in the need for continuing this undertaking in the future.

This book presents the most recent challenges and developments in sustainable computing systems with the objective of promoting awareness and best practices for the real world. It aims to present new directions for further research and technology improvements in this important area.

Alternative ideas for a "smart" city, from a park bench that enforces time limits by ejecting the sitter to "electronically assisted" plants that encourage conservation. Our cities are "smart" and getting smarter as information processing capability is embedded throughout more and more of our urban infrastructure. Few of us object to traffic light control systems that respond to the ebbs and flows of city traffic; but we might be taken aback when discount coupons for our favorite espresso drink are beamed to our mobile phones as we walk past a Starbucks. Sentient City explores the experience of living in a city that can remember, correlate, and anticipate. Five teams of architects, artists, and technologists imagine a variety of future interactions that take place as computing leaves the desktop and spills out onto the sidewalks, streets, and public spaces of the city. "Too Smart City" employs city furniture as enforcers: a bench ejects a sitter who sits too long, a sign displays the latest legal codes and warns passersby against transgression, and a trashcan throws back the wrong kind of trash. "Amphibious Architecture" uses underwater sensors and lights to create a human-fish-environment feedback loop; "Natural Fuse" uses a network of "electronically assisted" plants to encourage energy conservation; "Trash Track" follows smart-tagged garbage on its journey through the city's waste-management system; and "Breakout" uses wireless technology and portable infrastructure to make the entire city a collaborative workplace. These projects are described, documented, and illustrated by 100 images, most in color. Essays by prominent thinkers put the idea of the sentient city in theoretical context.