Page 120 - Big Data Analytics for Connected Vehicles and Smart Cities

100 Big Data Analytics for Connected Vehicles and Smart Cities Smart Cities 101

Interoperability Interface

An essential ingredient in the smart city back office, the interoperability in-
terface provides a means through which various data sources are ingested into
the back office. The interoperability interface will also support the flow of data
from the back office to a range of public- and private-sector applications.
Event Repository and Big Data Management
The smart city data lake is comprised of an extensive data repository that covers
events and contains the data that describes transportation demand, prevailing
transportation conditions, and supply characteristics for the smart city.
Safety and Security
Safety and security involves the application of dynamic safety and security func-
tions that protect the confidentiality and integrity of data stored in the data lake
and within the back office. Safety and security will also involve monitoring the
interfaces that the back office uses to ingest and share data.

Software Development Kit (SDK) External Integrators
The software development kit provides an interface to external integrators such
a smart application developers and other users of back-office data. This contains
details on how to access the data, the format and content of the data, and other
characteristics required to integrate data into applications.

Semantics and Ontology
Sometimes referred to as metadata, master data management, and data gover-
nance, this element provides the governance of data required to make sure that
it is readily available to all users and that it is stored in an optimized structure
within the back office.

Analytics
This describes the application of transportation analytics and other smart city
analytics to gain insight and understanding through discovery and standardize
business processes for the smart city. These can be used for discovery purposes
and for business process management.
Processes

In addition to discovery analytics, a range of standardized processes are identi-
fied and supported. One of the essential ingredients for the successful applica-
tion of technology to organizations is the identification of business processes
and the customized application of technology to either support existing pro-
cesses or implement new optimized processes.