Page 16 - Big Data Analytics for Connected Vehicles and Smart Cities

Preface

In developing this book, the author has drawn extensively on his Scottish
heritage. In Scotland, there is a long tradition of heavy engineering including
shipbuilding and bridge building. The term Clyde-built became a synonym
for high-quality engineering that combines innovation with a practical, robust
approach. It is hoped that this book will follow in that tradition by offering a
robust yet innovative engineered structure that bridges the gap between data
science and transportation. It examines the current trend for smart cities, focus-
ing on the type of transportation services that would be required in the smart
city. While smart cities are obviously much more than transportation, a focus
has been placed on this subject within the smart city context because of the
relative importance of transportation in providing the conductivity and acces-
sibility required for a smart city.
Connected and autonomous vehicles have also been given emphasis in
this book because of the possibilities for improved efficiency, safety, and user
experience that can be provided by driverless vehicles. Connected and autono-
mous vehicles also have a significant impact on big data and analytics because
of the size of the data set that will be generated by such vehicles. This has the
potential to revolutionize data collection and analysis for transportation.
The author has had the privilege of working closely with experts in trans-
portation, data science, and analytics in the course of consulting assignments
over several years. This has offered a unique insight into the revolution that is
taking place in data management and analytics. The concept of big data has
emerged, enabling data sets that were previously considered to be too large for
storage and manipulation to be treated as a single repository that can yield new

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