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138 Big Data Analytics for Connected Vehicles and Smart Cities The Practical Application of Analytics to Transportation 139

7.2 Chapter Word Cloud

Figure 7.1 presents a word cloud to provide an analysis of this chapter’s contents,
at a glance. The word cloud captures the most frequently used words within the
document, with the font of each word in proportion to the frequency of use.

7.3 Introduction

This chapter explains the application of the analytics defined in Chapter 6. At
this time, there are few examples of the use of analytics in U.S. cities. Therefore,
the number of examples shown is limited; it, nevertheless, provides consider-
able insight into the practical application of analytics from a smart city trans-
portation perspective. The objective is to build on Chapter 6 by explaining how
analytics can be applied within a practical context in a transportation setting.
To best explain the practical application of analytics to transportation, it would
seem reasonable to use a series of examples.
During recent assignments on smart cities, it has become apparent that
an important element of a smart city approach plan lies in the choice of the
departure point. In this case the departure point is defined as a starting point
for the proposed smart city initiative. If we assume that a smart city initiative
will consist of the current situation, the implementation plan, and the ultimate
smart city deployment, then it can be thought of as a journey, a departure point,
a sequence of en-route activities, and a destination point.

Figure 7.1 Word cloud for Chapter 7.