Overview
- Focuses on the interplay role between Smart Cities and IoT technology from architecture and infrastructure perspective that includes theories, methodologies, techniques, and tools, in practice
- Presents a data analytics perspective on Smart Cities
- Is an exceptional reference for postgraduates, researchers, scientists, and developers of smart cities
Part of the book series: Lecture Notes in Intelligent Transportation and Infrastructure (LNITI)
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Table of contents (15 chapters)
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Fundamental of Smart Cities and Data Analytics
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Smart Transportation and Mobility
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Case Studies in Smart Cities
Keywords
About this book
This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart city is an advanced technological area that is capable of understanding the environment by examining the data to improve the livability. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data. The smart city has a focus on data analytics facilitated through the IoT platforms. There is a need to customize the IoT architecture and infrastructures to address needs in application of specific domains of smart cities such as transportation, traffic, health and, environment. The smart cities will provide next generation development technologies for urbanization that includes the need of environmental sustainability, personalization, mobility, optimum energy utilization, better administrative services and higher quality of life. Each chapter presents the reader with an in-depth investigation regarding the possibility of data analytics perspective in smart cities. The book presents cutting-edge and future perspectives of smart cities, where industry experts, scientists, and scholars exchange ideas and experience about surrounding frontier technologies, breakthrough and innovative solutions and applications.
Editors and Affiliations
Bibliographic Information
Book Title: Smart Cities: A Data Analytics Perspective
Editors: Mohammad Ayoub Khan, Fahad Algarni, Mohammad Tabrez Quasim
Series Title: Lecture Notes in Intelligent Transportation and Infrastructure
DOI: https://doi.org/10.1007/978-3-030-60922-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-60921-4Published: 12 December 2020
Softcover ISBN: 978-3-030-60924-5Published: 13 December 2021
eBook ISBN: 978-3-030-60922-1Published: 11 December 2020
Series ISSN: 2523-3440
Series E-ISSN: 2523-3459
Edition Number: 1
Number of Pages: XIV, 319
Number of Illustrations: 23 b/w illustrations, 59 illustrations in colour
Topics: Transportation Technology and Traffic Engineering, Data Engineering, Computational Intelligence, Cyber-physical systems, IoT