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