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1 © 2014. Confidential & Proprietary Transportation Network Optimization Workshop The Data Landscape Rick Schuman, VP/GM, Public Sector March 10, 2014

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Page 1: Transportation Network Optimization Workshop ARPA...State-of-the-Art: XD Sub-Segments 25 11 AM 12 PM 1 PM 2 PM 3 PM 4- PM 5 PM 6vehicle readings PM 7 PM 8 PM Exit 14 Exit 29 GA 25

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© 2014. Confidential & Proprietary

Transportation Network Optimization Workshop The Data Landscape

Rick Schuman, VP/GM, Public Sector

March 10, 2014

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Topics

• Background/Thesis

• Data Available and Services Enabled

• Data Coming and Services Pondered

• Gaps/Needs

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Background/Thesis

• Background

• The Doug MacDonald Challenge

• National Traffic Signal Scorecard

• Thesis

• If you want to make a difference (re fuel use) …

• Focus on influencing people/places/times at the tipping point of equilibrium

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2005 2007 2012

Self Reported Room for Improvement!

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Signal Timing Improvement Example Fuel Use Improvement

http://www.leesignaltiming.com/results.html

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Data Available/Services Enabled

Data Available

• Real-time Vehicle/Device “PHS” data

• Estimated Traffic Volumes – averages by day/time/segment

• Journalistic Data – better, not perfect

• Weather Data

• Parking (lots) – improving

• Fuel/EV Stations/Prices

• Transit alternatives – larger cities

Services Enabled

• Drivers • Traffic enabled routing/ETAs

• Parking, Fuel, Charging

• EV Range-finding

• “Trouble ahead” alerts and re-routes

• System • Traffic Management

• Performance Analysis

• Project Planning/Assessment

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Fall 2010 – PHS “Red Dots” 15 minutes of data – Thursday PM Peak

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Summer 2013 – PHS “Red Dots” 15 minutes of data – Thursday PM Peak

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Enables 1M+ miles, 1M+ segments of Real-time speeds, updated every minute

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State-of-the-Art: Combining Journalistic Incidents and Impact

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Traffic-Aware Routing – From/To Anywhere

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…Though not all routes are avoidable!

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Real-Time Parking Information

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EV Range Estimation

PM Rush Hour Range Overnight Range

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INRIX Analytics – Home Page

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Identifying Congested Corridors Possible…Nationwide

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As is Detailed Analysis of Each Corridor

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TTI Assessed Congested Freeway Corridors

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Data Coming and Services Pondered

• Speed Data – More roads, More granular

• Traffic Volumes – better estimates, actual volumes during incidents

• Origin/Destination

• GPS Trip Traces

• Cellular Network Data

• Enable “route demographics?”

• Connected Vehicles – “XFCD”

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Better Speed Data: State-of-the-Practice: TMC Segments

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Better Speed Data: State-of-the-Art: XD Sub-Segments

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11 AM

12 PM

1 PM

2 PM

3 PM

4 PM

5 PM

6 PM

7 PM

8 PM

Exit 14 GA 25

Exit 26 Dover Bluff Rd

Exit 29 US17/US82

Exit 36 US 25

Exit 38 GA 25

Exit 42 GA 99

INRIX Vehicle Probe Trajectories December 17, 2013 I-95 NB, Brunswick, GA

- Little circles are specific vehicle readings

- Lines connect data from the same vehicle

- “Vehicle trajectory” - Color of dot/line indicate

specific vehicle speed/travel time

- Dot is speed for single reading

- Line is travel time between multiple readings

- This is the base data the powers INRIX processing

Outlier data that must be

detected and discarded

Possible closures;

Candidates for INRIX operator

review

Possible/likely opening;

Candidates for INRIX operator

review

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Origin Destination Data

• GPS or Cell Network Data

• Not just start and end, but route too

• Analyze from road segment viewpoint? • Where users are coming from and

going to?

• Use in key corridors?

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XFCD: eXtended Floating Car Data

• Connected Vehicles can provide more than “PHS” data

• One OEM example:

• 72 real-time parameters readily available

• Wide ranging:

• Usual suspects: ABS, weather, etc.

• More arcane: Mobile carrier signal strength/band

• What data is useful for energy use purposes…in real-time, in real-world operation?

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Gaps/Needs

• Only modest data issues

• Better volumes – real-time in particular

• Better agency incident reporting

• Better parking data – particularly street parking

• Existing business models will continue to extract more useful data from vehicles and mobile devices – in user agreeable ways

• More emphasis needed on data analysis, particularly at national level

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Conclusions

• Raw Data (mostly) here now or coming soon

• Need to tolerate and accept license restrictions

• Protects privacy

• Fosters market development (products, not trails/projects)

• Re fuel impact of mobility/congestion

• Little focus nationally

• Tools/data can enable this focus now

• Target Corridors for improvements/incentives

• Address question: fuel use impact of “conditions aware” traveler?

• Ongoing national program: alert agencies when signal timing has gone bad?

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© 2014. Confidential & Proprietary

Thank you [email protected]