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Metropia App and Implications for Travel Demand Management

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2015 D-STOP Symposium session by Yi-Chang Chiu, Metropia founder. Watch the presentation at http://youtu.be/sSotvhKg3Wc?t=12m59s

Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/

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Metropia App and Implications for Travel Demand Management

  1. 1. Metropia App and Implications for Travel Demand Management Yi-Chang Chiu, PhD University of Arizona, Metropia Inc. D-STOP Symposium University of Texas at Austin, March 2, 2015
  2. 2. Colorado Study: I-70 Mountain - A State-Wide Treasure
  3. 3. Great Fun in the Mountain
  4. 4. Long Way Home….
  5. 5. Long Way Home….
  6. 6. $10M $20M $200M $2B
  7. 7. Predictive Optimal Routing and Load Balancing Reserve Validate
  8. 8. Metropia’s Gamification Features • Earning Points can be exchanged for local merchant rewards or to plant trees
  9. 9. Metropia’s Gamification Features • Users also get CO2 and Time Savings and Driving Scores
  10. 10. Metropia Multi-Modal “Lead Generation” Concept Metropia Drivers Alternative Mode Attractive Alternative Mode Feasible
  11. 11. Metropia Multi-Mode “LeadGen” Example (Portland Metro Network - PMPeriod)
  12. 12. Metropia Multi-Mode “Lead Gen” Example (PortlandMetro Network–PM Period) Potential Travel Shed for Mode Shift with Lead Gen (Simulated) Alternative Mode Feasible: • SOV trips with direct transit services between origin and destination • 280,000 trips captured (15%) Alternative Mode Attractive: • SOV trips with direct transit services between origin and destination • Wait time < 15 minutes • Walk distance < 0.5 Miles • 10,000 trips captured (0.5%)
  13. 13. GPS Trajectories
  14. 14. GPS Trajectories
  15. 15. Activity Pattern • Activity History • Activity Prism Work Home Shopping Home Shopping Work Activity Based Model
  16. 16. Intersection Delays Congestion Management System
  17. 17. Data Coverage
  18. 18. Data Coverage (Week 1-16) 171 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Model Calibration
  19. 19. Data Coverage (Week 1-16) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Stable links 304 438 807 1157 1460 1682 1856 2266 2517 2734 3097 3416 3564 3767 4094 4259 4377 Updated links 2305 3798 7278 9599 10602 11548 12172 13426 14374 15145 16006 17328 17748 18274 19150 19525 19772 0 5000 10000 15000 20000 25000 30000 #oflinks week
  20. 20. Data Intensity
  21. 21. Data Intensity
  22. 22. Data Intensity (YC)
  23. 23. Data Intensity (YC)
  24. 24. Congestion Pattern
  25. 25. Austin Weekend PH Congestion Travel Time/ Reliabiilty Study
  26. 26. Austin Weekday PH Congestion
  27. 27. Origin-Destination Pattern
  28. 28. Austin User OD Pattern OD Survey
  29. 29. Tucson User OD Pattern
  30. 30. YC OD Pattern and Intensity
  31. 31. Predicted Destinations
  32. 32. YC Weekday Home 8 AM Kids School Metropia U of AZ Emission Test Tucson Airport Destination Choice Modeling
  33. 33. YC Weekday UA 6 PM Home Metropia To Go Restaurant Kid’s Martial Art
  34. 34. YC Weekend Home 11 AM Brunch Dim Sum Restaurant Tucson Airport Kid’s Martial Art Metropia
  35. 35. Sensor Data
  36. 36. Accelerometer Data
  37. 37. Gyroscope Data
  38. 38. Conclusions • Metropia focuses on Multi-Modal Active Demand Management • Metropia data support various travel demand management purposes – Multi-modal opportunities – Congestion/performance measures – Activity patterns – Distraction/safety analysis

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