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Next we will examine Dynamic Mobility Applications. 
As mentioned previously, we don’t collect data for nothing.  We need to do something useful with it, specifically developing applications that maximize system productivity and enhance mobility of individuals within the system.  The focus is primarily on public sector applications but we’re not ruling out private sector applications.
The program will leverage multi-source data to develop and assess the applications that show potential to improve dynamic decision making.
We will identify the potential benefits that can be realized by these applications.  The applications will be prioritized with the help of stakeholders based on the potential benefits, deployment costs, institutional and technical risks, and stakeholder acceptance.
Only when we have proven in a smaller test environment or a demonstration that it really works, can we move to a deployment phase.
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Pictures are from clip art. 
More detail on App Bundles will be discussed in the next presentation
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What kind of data environments do we have now?
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.
On the right is the potential end state.  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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Program involves connected vehicles and connected travelers. 
Program has cross-cutting needs to better understand the traveler:
•Explore use of mobile device data to better anticipate traveler response to information for corridor/system management
•Examine vehicle-device integration, role of J2735 probe data process
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Vehicle V1 generates BSM Part 1 every tenth of a second via DSRC when in range of an RSE AND when not in range an RSE.
Vehicle V2 generates BSM Part 1 and the weather and vehicle itinerary data via cellular. 
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Dual mode device, when in range of an RSE
•Transmits BSM Part 1 via DSRC every 0.1 seconds
•Transmits Weather and Vehicle Itinerary data every 180 seconds via DSRC
Dual mode device, when NOT in range of an RSE
•Transmits BSM Part 1 via DSRC every 0.1 seconds
•Transmits BSM Part 1 plus Weather and Vehicle Itinerary Data every 180 seconds via cellular
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Dual mode mobile device, when in range of an RSE
•Transmits position and speed via DSRC every 0.1 seconds
•Transmits Traveler Itinerary data every 180 seconds via DSRC
Dual mode device, when NOT in range of an RSE
•Transmits position and speed via DSRC every 0.1 seconds
•Transmits position and speed and traveler Itinerary Data every 180 seconds via cellular
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