Page 25 - Big Data Analytics for Connected Vehicles and Smart Cities

6 Big Data Analytics for Connected Vehicles and Smart Cities Introduction 7

Automotive manufacturers.

This group includes engineers, product planners, and designers working within
automotive manufacturers. It also includes equipment and service providers
that work with automotive manufacturers to deliver connected and autono-
mous vehicle solutions to drivers. The book aims to provide this group with a
thorough understanding of how big data and analytics can be applied to trans-
portation in a practical way. The value of connected and autonomous vehicles
within the bigger picture of data supply, data conversion to information, and
the use of analytics to understand trends and patterns are also discussed. Au-
tomotive manufacturers and their electronics suppliers are deeply involved in
both connected and autonomous vehicles. This book should provide valuable
input into ongoing decision-making and product development.

Smart Cities planners, advocates, and implementers.
This readership group includes city officials involved in planning the trans-
portation elements of a smart city, city mayors, and other executive leaders
charged with implementing a smart city vision. The book provides this group
with information on the elements that can be incorporated into a smart city
from an urban analytics perspective. Further, it illustrates the power of big data
and provides a solid business justification for incorporating big data and analyt-
ics into any smart city vision. This is an exciting time for city transportation
with a strong focus on developing smarter and better cities. The assumption is
that big data and analytics will form a central core for advances in smart city
transportation, founded on a detailed understanding of transportation supply,
demand, and operating conditions. This understanding is expected to go a long
way toward improving service delivery for transportation in a city.
University professors and students.
For this readership group, the book aims to provide an up-to-date and useful
resource on the world of big data and analytics within a smart city context. It is
hoped that an explanation of how the latest techniques and technologies can be
applied to transportation will spur the next generation to use current efforts as
a platform and move toward establishing the role of data and data analytics and
transportation. In many respects, big data and analytics are building blocks that
represent the new asphalt, concrete, and steel.

1.7 Overview of Contents

Subsequent chapters of this book address a range of subjects related to under-
standing big data and analytics, showing their relevance to transportation, and
then defining what can be done.