Page 299 - Big Data Analytics for Connected Vehicles and Smart Cities

280 Big Data Analytics for Connected Vehicles and Smart Cities Summary 281

9. Big data and analytics has the potential to address the spectrum of
smart city transportation activities from planning through design and
project delivery to operations and maintenance. It is important that
a cross-section of transportation professionals become aware of new
capabilities.
10. Develop a detailed understanding of the value of data and the new
economics involved in retaining data. It may not be necessary to make
an early judgment on the value of every data element as this would
preclude later combination to deliver new insights and understanding.
11. This also involves the development of a new perception regarding the
current cost of data storage and data management in the age of Ha-
doop and other big data storage approaches.
12. Develop a smart city transportation data analytics strategy employing
use cases and pilot projects to develop a true understanding of objec-
tives and possibilities. In the same vein, use new insight into the pos-
sibilities of analytics to drive data collection and data acquisition based
on an understanding of the purpose to which the data will be put.
13. Be prepared to partner as new possibilities exist to share cost and to
harness private-sector motivation to public sector objectives. We may
have little choice but to adopt partnership, advocacy, and influence
strategies as a potential private-sector role in transportation service
delivery emerges and grows.
14. Be aware of the possibilities of connected and autonomous vehicles.
Probe data emanating from connected vehicles has the possibility to
revolutionize data capture for transportation needs within a smart city.
Similarly, the autonomous vehicle has the potential to address many
smart city transportation issues including congestion, parking, and
last-mile transportation service delivery. Also, be aware of the poten-
tial challenges associated with autonomous vehicles that could lead to
disruption in the current transportation service delivery model, unless
we anticipate and incorporate these new technologies into our smart
city transportation approaches.
15. Adopt an objectives-driven approach to the definition of smart cit-
ies initiatives, understanding the relative importance of transportation
within the larger smart city technology framework.
16. Be aware of the new possibilities for scientific results-driven invest-
ment programs, based on insights and understandings derived from
big data and transportation data analytics.
17. Be prepared to understand and take advantage of the ability for one
project to support another. While each project will deliver indepen-