Page 30 - Big Data Analytics for Connected Vehicles and Smart Cities

10 Big Data Analytics for Connected Vehicles and Smart Cities Introduction 11

tion of the techniques and concepts. However, since the application of big data
and analytics to transportation is still in an early stage, there are not too many
implementations that represent full-fledged applications. Therefore, Chapter
10 presents a combination of implementations and concepts. Some of the ex-
amples represent implementations that have been conducted with clients, while
others represent project concepts that have been discussed with clients but not
yet implemented.

Chapter 11
Chapter 11 presents a methodology for estimating costs and benefits for all 16
of the smart city transportation services defined in Chapter 5. Several factors,
including the size of the data, the number of users, the types of queries to be
supported, and the query speed to be achieved, affect costs. Thus, cost estimates
require the kind of detailed system design that is beyond the scope of this book.
However, it is possible to provide a set of yardsticks and expected cost ranges
based on past experience. This enables the definition of budgetary costs for
incorporation into future plans and work programs. Accordingly, Chapter 11
defines and explains model configurations as the basis for cost estimates.
In addition, Chapter 11 explores the values and benefits of applying big
data and analytics techniques to transportation. Starting with the core values
of safety, efficiency, and enhanced user experience, it is possible to extrapolate
a range of values and benefits that can be achieved through the application of
big data and data analytics. The exact benefits and values to be derived will be
significantly influenced by the nature of the problem and by the details of the
selected design. However, it is possible to provide some ranges and estimates for
the values and benefits that can be expected. These should be of value in creat-
ing a business justification for big data and analytics investments. Chapter 11’s
cost estimates and benefits assessment concludes with the development of ben-
efit cost estimates. While these are approximate, they assist in defining a sketch
planning approach to smart city transportation service evolution.

Chapter 12
The book concludes with Chapter 12, which provides an overview of the es-
sential elements covered in the book. Specifically, Chapter 12 discusses the rel-
evance of big data and analytics with respect to transportation, smart cities, and
the connected vehicle. In addition, Chapter 12 draws conclusions on the value
of big data and analytics to transportation and the steps that should be taken
toward harnessing these powerful resources. Finally, Chapter 12 distills the es-
sential information provided in the book to define advice for smart city profes-
sionals, providing a concise summary of actions to consider after digesting the
contents of the book.