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4 Big Data Analytics for Connected Vehicles and Smart Cities Introduction 5

stretches across the entire enterprise or organization. This also offers the ability
to merge data into a centrally accessible repository, whereas previously it may
have been stored in a stovepipe fashion to fit within the constraints of prior data
management technologies. This new ability to obtain an enterprise-wide view
of data multiplies the information possibilities by a large factor.

1.6 Intended Readership Groups for the Book

Defining the intended readership for the book, serves two purposes. First, it
provides the author with a clear understanding of the intended target readership
to guide the selection and presentation of the content. Second, it enables read-
ers to understand the value that can be realized by reading the book. The book
intends to address the following readers:

• Transportation planners and traffic engineers;
• Business analysts, data scientists, data engineers, and developers;

• Automotive manufacturers;
• Smart city advocates and implementers;
• University professors and students.

The following sections describe each of these groups and explain the value
they can obtain from reading the book.

Transportation professionals.
This group includes transportation planners, traffic engineers, transportation
operations and service delivery specialists, freight planners and freight opera-
tions professionals, and executive leaders in transportation. The book aims to
provide this group with an understanding of what big data and analytics are all
about and how they can be applied in a practical and useful way to transporta-
tion planning, operations, and service delivery.

Business analysts, data scientists, data engineers, and developers.
Analysts, scientists, engineers, and developers are likely to be involved in de-
veloping big data and analytics systems or in applying commercial off-the-shelf
solutions to transportation problems. The book provides these readers with an
overview of how their technologies and solutions can be applied in a practical
and useful way in the transportation domain.