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Data from
vehicles are made available via IntelliDrive technologies.
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They are all
interoperable and this permits the formation of a data environment, which can be a
client-server architecture, ad hoc peer to peer, or something we havent thought of
yet.
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These data can
be consumed by a broad spectrum of devices.
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Vision
Multi Source Data fusion
Objectives
Enable systematic data capture from connected vehicles
(automobiles, transit, trucks), mobile devices, and infrastructure
Develop data
environments that enable integration of data from multiple sources for use in transportation
management and performance measurement
Reduce costs of data management and eliminate technical
and institutional barriers to the capture, management, and sharing of data
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Vision
Transportation version of the App Store.
Objectives
Create applications enablers using
frequently collected and rapidly disseminated multi-source data from
connected travelers, vehicles (automobiles, transit, freight) and
infrastructure
Develop and assess applications
showing potential to improve nature, accuracy,
precision and/or speed of dynamic decision making by system managers and
system users
Demonstrate promising
applications predicted to significantly improve capability
of transportation system to provide safe, reliable, and secure movement
of goods and people