1	Applications and Impacts Breakout Group I: Environmental
2	Transformative Environmental Impacts
3	Today’s Exercise (Part 1) Measuring Impact Feedback materials Application scorecard 3 poker chips (for voting) Facilitators preview overall exercise Facilitators lead group discussion on measuring transformative impact Three example measures given Participants may suggest others Simple hand-count voting to determine up to three to be further explored Flip-chart exercise (group discussion) Measure definition and current baseline (if known) What change represents transformative impact?
4	Today’s Exercise (Part 2) High Impact Apps As we did yesterday, consider up to 10 applications in each impact area One slide per concept, brief clarifying discussion Record High-Medium-Low rating on your scorecard for each of the measures 3-2-1 Poker chip voting for the applications most likely to have transformative impact (per your measures) Facilitated discussion about the application with the highest vote total Identify key data, communications and research needs for this application How close to transformative will this application get us? Repeat facilitated discussion for second highest ranked application (time permitting) Reconvene to consider results within each breakout Discuss the implications of your group process Identify a presenter from your group for the breakout report at 11 AM
5	Exercise Ground Rules For today’s exercise, these items can’t be changed Breakout group impact area definitions No adding new application concepts Data environment assumptions from yesterday can be relaxed, however Assumptions about what data is available can be tailored in this exercise Policy-related issues are NOT in play for discussion Intellectual Property, Privacy, Access/Security, Meta-data, Quality, Aggregation, Standards, Financial/Business Models…. If these topics come up, we will park the discussion until this afternoon, when we have special session to deal with these in turn
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7	Environmental Impact Measures
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9	Application Evaluation Criteria Next, we’re going to go through application concepts that address the environmental impact area We will present each concept on a single slide You can ask clarifying questions, or offer suggestions about how data might be leveraged But the concept itself cannot be altered, modified or enhanced in discussion Record an notes/comments on each application with an assessment on your scorecard for each criteria (High-Medium-Low) Let’s fill in our selected measures now on your scorecard Consider how you will vote for the applications with the most potential to achieve our transformative targets What applications have the most potential to help us reach our transformative target by 2025?
10	Application #1: SPD-HARM Dynamic Speed Harmonization Problem Addressed: Improve throughput and reduce risk of collision by optimizing for lane-specific speed limits on a freeway facility Description Monitor traffic and weather data captured from multiple sources, and calculate a target speed for vehicles Target speeds may be advisory or enforced, and may vary by location, e.g., distance upstream of a recurrent bottleneck, and by lane Communicate target speeds through overhead dynamic signage, via DSRC to enabled vehicles with range (I2V) and from vehicle to vehicle (V2V)
11	Application #2: ECO Connected Eco Driving Problem Addressed: Improve fuel economy and reduce emissions by improving driver awareness of local road topography, signal status, and weather condition. Description Modify vehicle operation to improve fuel economy and reduce emissions considering grade, predicted speed changes or braking, and real-time traffic Adapts based on driver aggressiveness, energy/fuel consumption, brake regeneration, engine/drive torque-speed characteristics, other factors Provide feedback to the driver (or electronic control signals to semi-autonomous systems) to keep the vehicle operating in target range
12	Application #3: ICM IntelliDrive-Driven Integrated Corridor Management Problem Addressed: Incompatible operational and data collection procedures limit coordination among freeway, signal system, and transit system operators in a corridor Description Aggregate, consolidate and exchange data on alternate routes and modes to provide true corridor-wide traveler information services Enable traffic management and transit agencies to coordinate their existing systems to improve corridor performance Support integrated and coordinated response during major incidents and emergencies within corridor boundaries
13	Application #4: RAMP IntelliDrive-Driven Ramp Metering System Problem Addressed: Improve current ramp metering systems capability to respond to changing traffic conditions in real time Description Leverage new mobile source data to calculate optimal ramp metering rates resulting in improved throughput and reduced emissions Broadcast timing information (analogous to SPaT data) allowing vehicles to decelerate or accelerate Integrate with HOV bypass, arterial signal coordination and dynamic speed harmonization applications deployed in same interchange
14	Application #5: D-RIDE Dynamic Ridesharing Problem Addressed: Logistical constraints of traditional carpooling (e.g., long-term commitments, fixed schedules, and communication difficulties) prevent ridesharing from realizing its full potential Description Leverage in-vehicle and hand-held devices to allow ride-matching Integrate carpooling functions into vehicle computer and displays, use voice activated ridesharing technology to reduce distraction effects Vehicle-data integration utilized by HOV/HOT enforcement agencies to verify vehicle occupancy
15	Application #6: I-SIG IntelliDrive-Driven Traffic Signal System Problem Addressed: Improve the accuracy and timeliness of data used to control signal systems, reducing delays, costs and emissions while improving travel reliability Description Utilize data from vehicles to accurately predict lane-specific platoon flow, platoon size, and other traffic characteristics Reduce time and cost barriers to updating traffic signal timings, both periodic and real-time updates Consider (freight/transit/light) vehicle mix in signal timing plans
16	Application #7: SIG-FLOW Adaptive Speed Control for Efficient Traversal of Intersections Problem Addressed: Address under-utilization of the space-time resource within an intersection, reducing delays and improving emissions Description Vehicles with adaptive cruise control coordinate with intersections Each vehicle is assigned just the amount of space-time needed within the intersection to enable safe passage by an intersection manager agent Target vehicle speeds through the intersection managed by an in-vehicle driver agent, although the driver may over-ride
17	Application #8: T-DISP Dynamic Transit Operations Problem Addressed: Traditional fixed route/fixed schedule transit is inherently inefficient for the traveler in low density, low ridership, and dispersed origin/destination areas Description Enable demand-responsive transportation services utilizing GPS and mapping capabilities of mobile devices Travelers input a desired destination and time of departure tagged with their current location Central system dynamically schedules and dispatches or modifies the route of an in-service vehicle by matching compatible trips together Like a stock exchange, providers can bid/trade within a transparent platform
18	Application #9: VMT IntelliDrive-Driven Mileage Based User Fees Problem Addressed: Projected reduced gas tax revenue for same vehicle miles traveled (VMT), while cost of providing transportation system increases with inflation Description Integrate IntelliDrive and Mileage Based User Fees (MBUF) to eliminate redundant GPS, maps, driver interfaces, and communications in the vehicle Accumulate miles driven in categories determined by policy and charge for the miles driven, ensure interoperability among jurisdictions Considerations may include vehicle type, time of day, roadway type, jurisdiction, direction of travel, and geographic area of travel
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20	Breakout Exercise (Part 2) Voting Now that we’ve worked through all the applications, vote for the three most promising applications BLUE = 3 points (top priority) RED = 2 points (second-highest priority) WHITE = 1 point (third-highest priority) Deposit your chips in the voting bins identified for each application (also turn in your scorecards) We’ll take a quick break (5 minutes) to tabulate the results One Bin, One Participant, One Chip rule Do NOT dump all of your chips in a single bin We want your individual priority of the top THREE applications
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