1	Applications and Data Environments Breakout Group II: Freeway Data Environment
2	Today’s Exercise (Part 1) Scorecards Feedback materials provided in the breakout rooms Application scorecards 3 poker chips (for voting) Facilitators will brief assumptions about the data environment that applications can draw upon Facilitators will clarify application evaluation criteria Consider a set of (up to 12) IntelliDrive application concepts Facilitators provide one slide that describes the application Field questions and clarifying discussion Individually, you rate the application (HIGH, MEDIUM, LOW) against the criteria on your scorecard
3	Today’s Exercise (Part 2) Voting Once you have scored each application, each participant votes for the three most promising applications “Most promising”: strong potential for transformative impact, low deployment risk, and clear alignment with IntelliDrive program goals 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) Quick break (5 minutes) to tabulate the results 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 3 PM
4	Exercise Ground Rules For today’s exercise, these items can’t be changed Evaluation criteria Data Environment assumptions Application concepts (no altering or adding new ones) 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 tomorrow, when we have special session to deal with these in turn
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6	Freeway Data Environment Description
7	Freeway Data Environment Assumptions
8	Vehicle and Traveler Data Source Assumptions
9	Infrastructure Data Source Assumptions
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11	Application Evaluation Criteria Next, we’re going to go through application concepts that utilize data from the freeway data environment 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 Please record notes or comments on each concept on your scorecard You rate each application on three criteria (High, Medium, Low) Potential Impact: will this application have transformative impact? Deployment Readiness: if we assume the data is available, can this application be developed, tested and widely deployed by 2025? Program Alignment: does the application align with program objectives and is there a clear federal role in its development and deployment?
12	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)
13	Application #2: CACC Cooperative adaptive cruise control Problem Addressed: Significantly improve throughput by increasing capacity and efficiency, and increase safety by minimizing the number of interactions between vehicles Description A traffic manager sets a gap policy to form or break-up platoons of vehicles Speeds are automatically adjusted by the vehicle based on communications from the traffic management center Ad hoc or managed platoons of vehicles moving on the facility Management of gaps, flows and arrival rates Systematically accounts for differing vehicle weight and performance
14	Application #3: Q-WARN Queue Warning Problem Addressed: Warn motorists of existing or imminent downstream queues or shockwaves to increase safety by reducing rear-end collisions (and resulting congestion) Description Monitor traffic data to check for presence of a stopped or slow moving queue Predict queue formation and shockwave propagation Alert motorists to reduce speeds thereby avoiding abrupt stops Possibly implemented in conjunction with speed harmonization to provide target speeds by lane in approach to congested area
15	Application #4: ATIS Multi-modal Real-Time Traveler Information Problem Addressed: Improve precision and accuracy traveler information with respect to travel times, cost, or availability on alternate routes or modes Description Considers real-time and historical travel conditions for the traveler’s trip (pre-specified origin, destination, and time of departure) Suggests potential routes and modes (e.g., HOV, general purpose, tolled lanes) with travel times, travel time reliability, and costs for each alternative Predicts travel times based on existing and expected traffic patterns, weather conditions, incident locations, and work zone locations and timings
16	Application #5: ETC Electronic Toll Collection System Problem Addressed: Increase interoperability among ETC devices for vehicle-to-roadside communication using 5.9 GHz bandwidth Description Current 915 MHz ETC systems rely on proprietary vehicle-to-roadside communications, limiting interoperability Enable toll authority to accept electronic payments from vehicles equipped with electronic-payment services (EPS), regardless of EPS account ownership Presents payment instructions to the driver, receives driver input, send payment authorization and display toll payment status to the driver Could be implemented in conjunction with managed or HOT lane concepts
17	Application #6: INC-ZONE Incident Scene Work Zone Alerts for Drivers and Workers Problem Addressed: Public safety work zones (e.g., incidents, traffic stops) are dynamic and confusing for drivers -- and are high risk areas for vehicle-worker collisions Description Warns drivers of lane closings and unsafe speeds for the temporary work zones that surround any traffic incident or law enforcement traffic stop In-vehicle messaging would also provide merging and speed guidance Warn on-scene workers of vehicles with trajectories or speeds that pose high risk to their safety
18	Application #7: 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
19	Application #8: WX-MDSS Enhanced MDSS Communications Problem Addressed: Reduce reliance on (potentially expensive) commercial wireless networks to communicate with snowplows or other maintenance vehicles Description MDSS equipped maintenance vehicles utilize DSRC hot spots to download treatment recommendations and upload recent maintenance activities In many rural areas access to commercial networks is limited and/or expensive Utilize DSRC hot spots to reduce costs and improve communications latency for state DOTs
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21	Breakout Exercise (Part 2) Voting Now that we’ve worked through all the applications, vote for the three most promising applications “Most promising”: strong potential for transformative impact, low deployment risk, and clear alignment with IntelliDrive program goals 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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24	Results Discussion Were similar or dissimilar applications selected during voting? Did the highest ranking applications align in the same quadrants of the impact/deployment readiness chart? Regarding the top 6 applications: Are they highly overlapping? Or independent? Do they require coordinated research? Will they require coordinated deployment? Who would like to volunteer to report out the breakout group findings?
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