Smart Cities: A Data Analytics Perspective [electronic resource] /
edited by Mohammad Ayoub Khan, Fahad Algarni, Mohammad Tabrez Quasim.
- 1st ed. 2021.
- XIV, 319 p. 82 illus., 59 illus. in color. online resource.
- Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3459 .
- Lecture Notes in Intelligent Transportation and Infrastructure, .
Fundamental of Smart Cities -- A context aware big data analytics service-centric process modeling approach -- Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood.
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.
9783030609221
10.1007/978-3-030-60922-1 doi
Transportation engineering.
Traffic engineering.
Engineering—Data processing.
Computational intelligence.
Cooperating objects (Computer systems).
Transportation Technology and Traffic Engineering.
Data Engineering.
Computational Intelligence.
Cyber-Physical Systems.
TA1001-1280 HE331-380
629.04
Fundamental of Smart Cities -- A context aware big data analytics service-centric process modeling approach -- Smart Energy: A Collaborative Demand Response Solution for Smart Neighborhood.
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.
9783030609221
10.1007/978-3-030-60922-1 doi
Transportation engineering.
Traffic engineering.
Engineering—Data processing.
Computational intelligence.
Cooperating objects (Computer systems).
Transportation Technology and Traffic Engineering.
Data Engineering.
Computational Intelligence.
Cyber-Physical Systems.
TA1001-1280 HE331-380
629.04