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What kind of data
environments do we have now?
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We’re not starting
from a zero data environment. Our
current state is described on the left.
We have infrastructure on the freeways and on some major arterials to
capture data. A few vehicles act as
probes in the system. We also have
very infrequent surveys being conducted to find out what people’s context and
routes are.
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On the right is the
potential end state with IntelliDrive.
It shows the data we think we will need to develop or support
applications. We might deploy
infrastructure sensors where needed.
At this stage, we don’t know exactly how many. We’ll probably need nearly all vehicles to
participate and share information. And
we will probably need some travelers to share information with respect to
travel context, decisions, and outcomes.
What kinds of transformative applications can we imagine that could
potentially be supported with such a flow of data into the system?
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We can’t leap
directly from the current state to the end state. So we need to investigate what states make
sense that provide benefits and support the applications of interest. These potential interim states are some of
the different data environments we might try build, simulate, test as part of
this program.
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