Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume.

This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It 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.

It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering.

Features:

[*]Technologies and algorithms associated with the application of big data for smart cities
[*]Discussions on big data theory modeling and simulation for smart cities
[*]Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS)
[*]Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

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