Page 109 - Big Data Analytics for Connected Vehicles and Smart Cities

90 Big Data Analytics for Connected Vehicles and Smart Cities Smart Cities 91

Transportation Governance Services

Transportation governance services within a smart city will ensure the opti-
mized management of transportation on a multimodal basis across the whole
city. This will require collaboration and coordination between public- and pri-
vate-sector service providers and involve cross-mode cooperation for the man-
agement of private vehicles, transit vehicles, and freight vehicles. It is likely that
advanced data capture and data-processing technologies will be used to support
government transportation services. This also includes the application of archi-
tecture, standards, and prevailing best practices.

Transportation Management Services
Transportation management involves the coherent and consistent management
of all modes of transportation within the smart city. This includes private ve-
hicles, transit vehicles, freight vehicles, and nonmotorized means of transporta-
tion such as bicycling and walking. Essential elements of transportation man-
agement will include the application of performance management techniques
to the entire transportation system. Data from various sources along with so-
phisticated data management techniques will be used to measure the perfor-
mance of transportation services and compare them to predefined yardsticks.
Transportation management will incorporate current traffic management
approaches to support a range of services including freeway incident manage-
ment, emission testing and mitigation, highway and railroad intersection, au-
tomated vehicles, connected vehicles, and advanced traffic signal control for
urban surface streets and arterials.
Traffic management services will include integrated corridor manage-
ment, travel demand management, dynamic parking management, pedestrian
mobility applications, and the use of the IoT to increase the sustainability of
smart city transportation approaches. Traffic management also extends to the
management of emergency vehicles, fleet deployment, and incident prediction.
This will also incorporate the use of big data and analytics techniques to sup-
port a range of services that will underpin results-driven investment programs,
through which future transportation investments are guided by the effects of
prior investments.

Travel Information Services
Travel information will be delivered on a multichannel basis that includes in-
vehicle information, smart phone information, roadside information, and the
delivery of information services in the home and the office via the web. Travel
information services will support the connected citizen and the connected visi-
tor and will act as a sophisticated form of transportation management by mak-
ing decision-quality information available to all citizens and visitors within the
city. Travel information will offer choices regarding route, timing of journey,