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Improve Transportation Wednesday, February 28th, 2018 Overview - PowerPoint PPT Presentation

Leveraging Connected Infrastructure to Improve Transportation Wednesday, February 28th, 2018 Overview Discussion Points Current Transportation Engineering Practices and Procedures Infrastructure Based Decision Making Tools


  1. Leveraging Connected Infrastructure to Improve Transportation Wednesday, February 28th, 2018

  2. Overview Discussion Points • Current Transportation Engineering Practices and Procedures • Infrastructure Based Decision Making Tools • Infrastructureless Decision Making Tools • Combining, Optimizing, and The Future

  3. Civil Engineering = Infrastructure Structural Engineering Hydraulic Engineering Transportation Engineering Construction Management Geotechnical Engineering Environmental Engineering

  4. Current Data High Res Signal Data Probe Data (Infrastructure Based) (Infrastructureless)

  5. Signal Performance Measure Overview Explan lanat ation ion In a sensor based world if you can measure, we don’t really need to model. I. II. III. IV. V. VI. Define Assembly Software Timing Deployment Assess Objectives, relevant data Modeling Design and Assess and to support Docu- Prioritize timing and mentation activities by docu- Time of Day mentation and location objectives

  6. High Resolution Signal Controller Data Explanation Internal data logger – 0.1 second resolution Controller Unit Signal States Relational Database Database Server Vehicle Detections

  7. Purdue Performance Measures Performance Measures Developed using High-Res Controller Data One Cycle Three or More Cycles 2:00 8 7 1:30 6 Time in Cycle Phase 5 1:00 4 3 0:30 2 1 0:00 0 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00 12:00 12:15 12:30 12:45 13:00 13:15 13:30 13:45 14:00 14:15 14:30 14:45 Time of Day Time of Day Purdue Coordination Diagram Phase Termination Diagram 1 40 0.9 35 0.8 Vehicles per bin per hour 30 Probability of Green 0.7 25 0.6 0.5 20 0.4 15 0.3 10 0.2 5 0.1 0 0 0 10 20 30 40 50 60 70 80 90 Time in Cycle Flow Profile ROR vs. GOR

  8. Purdue Coordination Diagram 1 2 Probability of Green Number of Vehicles 1 Concept 0 0 0 10 20 30 40 50 60 70 80 90 100 110 Time in Cycle (sec) Loop Detection Time in cycle 120 Red Green Start of Green Previous Red window Start of Red 50 Green time 0 0 sec 50 sec 120 sec time of day 12:00:00 12:02:00 12:00:00 12:02:00 Day, C.M., Haseman, R., Premachandra, H., Brennan, T.M., Wasson, J.S., Sturdevant, J.R., and Bullock, D.M. (2010) Evaluation of arterial signal coordination: methodologies for visualizing high-resolution event data and measuring travel time. Transportation Research Record No. 2192, 37-49.

  9. Purdue Coordination Diagram 30 Minute View c383 c384 c385 c386 c387 c388 c389 c390 c391 c392 c393 c394 c395 c396 c397 Clearance red Arrivals on Green Phase 2 Green N  g P Primary N platoon Phase 1 green Phase 2 Red Arrivals on Red Phase 4 Secondary Phase 3 platoon Day, C.M., Haseman, R., Premachandra, H., Brennan, T.M., Wasson, J.S., Sturdevant, J.R., and Bullock, D.M. (2010) Evaluation of arterial signal coordination: methodologies for visualizing high-resolution event data and measuring travel time. Transportation Research Record No. 2192, 37-49.

  10. Purdue Coordination Diagram 24 Hour View End of Green Vehicle 2:00 Arrivals 1:30 Time in Cycle 1:00 Beginning of Green 0:30 0:00 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00 Fully-Actuated, Noncoordinated Time of Day Beginning of Operation Cycle (red) 10 Day, C.M., Haseman, R., Premachandra, H., Brennan, T.M., Wasson, J.S., Sturdevant, J.R., and Bullock, D.M. (2010) Evaluation of arterial signal coordination: methodologies for visualizing high-resolution event data and measuring travel time. Transportation Research Record No. 2192, 37-49.

  11. SB, SR 37 / SR 32 NB, SR 37 / SR 32 good Before 1001 Random 0600 1400 2200 0600 1400 2200 SB, SR 37 / Pleasant NB, SR 37 / Pleasant 1002 OK bad 0600 1400 2200 0600 1400 2200 good SB, SR 37 / Town & Country NB, SR 37 / Town & Country 1003 good 0600 1400 2200 0600 1400 2200 SB, SR 37 / Greenfield NB, SR 37 / Greenfield Day, C.M., Haseman, R., Premachandra, H., Brennan, T.M., Wasson, J.S., Sturdevant, J.R., and Bullock, D.M. (2010) Evaluation of arterial signal coordination: 1004 methodologies for visualizing high- bad bad resolution event data and measuring travel time. Transportation Research Record 11 No. 2192, 37-49. 0600 1400 2200 0600 1400 2200

  12. SB, SR 37 / SR 32 NB, SR 37 / SR 32 OK Aft fter 1001 Random 0600 1400 2200 0600 1400 2200 SB, SR 37 / Pleasant NB, SR 37 / Pleasant better good 1002 0600 1400 2200 0600 1400 2200 good SB, SR 37 / Town & Country NB, SR 37 / Town & Country 1003 good 0600 1400 2200 0600 1400 2200 SB, SR 37 / Greenfield NB, SR 37 / Greenfield Day, C.M., Haseman, R., Premachandra, H., Brennan, T.M., good good Wasson, J.S., Sturdevant, J.R., and Bullock, D.M. (2010) Evaluation of arterial signal coordination: 1004 methodologies for visualizing high- resolution event data and measuring travel time. Transportation Research Record 12 No. 2192, 37-49. 0600 1400 2200 0600 1400 2200

  13. Corridor Overview Map US-31 in Holland, MI Quincy St US-31 in Traverse City, MI Signal ID: 700132204 Riley St X-Over N Signal ID: 700132203 3 Mile Rd Signal ID: 28013137 Riley St 4 Mile Rd Holiday Rd Signal ID: 700132202 Signal ID: 28013138 Signal ID: 28013139 Felch St X-Over N Signal ID: 700132201 Felch St Signal ID: 700132200 Felch St X-Over S Signal ID: 700132199 James St X-Over N James St Signal ID: 700132198 Signal ID: 700132197 James St X-Over S Signal ID: 700132196

  14. Signal Performance Measure Dashboard

  15. Baseline Performance Measures Purdue Coordination Diagrams SB Signals NB Signals Percent On Green (POG)/ Direction Intersection 0500-0900 0900-1400 1400-2100 All Day POG POG POG POG NB S. James X Over 64.10% 63.30% 61.70% 64.80% NB James St. 67.30% 92.10% 89.40% 82.40% NB S. Felch X. Over 86.50% 89.40% 86.20% 87.70% NB Felch St. 95.20% 93.60% 77.70% 87.20% NB Riley St. 94.90% 88.00% 87.00% 86.70% NB Quincy St. 71.80% 78.70% 50.30% 65.80% SB Quincy St. 64.00% 65.10% 59.30% 64.40% SB Riley St. 93.30% 87.60% 85.00% 87.30% SB N. Felch X. Over 82.70% 84.60% 83.40% 84.60% SB Felch St. 95.00% 91.80% 87.80% 90.60% SB N. James X Over 95.60% 89.00% 80.90% 88.00% SB James St. 96.90% 93.70% 94.00% 94.20%

  16. Baseline Performance Measures Purdue Coordination Diagrams Holland, MI NB Signals Xover North of James James SB Signals 80 80 60 60 Cycle Time (s) Cycle Time (s) 40 40 20 20 0 0 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00 James James Xover South of James 80 80 60 60 Cycle Time (s) Cycle Time (s) 40 40 20 20 0 0 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00 0:00 3:00 6:00 9:00 12:00 15:00 18:00 21:00 0:00

  17. Offset Recalibration Before Wednesday Sept. 6, 2017 AOG = 61% NB Signals Xover North of James James SB Signals Cycle Time (s) Cycle Time (s) Possible Offset James Adjustment James Xover South of James Cycle Time (s) Cycle Time (s) Holland, MI

  18. Offset Recalibration After Wednesday Sept. 13, 2017 AOG = 91% NB Signals Xover North of James James SB Signals Cycle Time (s) Cycle Time (s) James James Xover South of James Cycle Time (s) Cycle Time (s) Holland, MI

  19. Offset Recalibration Before Wednesday Sept. 6, 2017 AD = 7 s TD = 393 min NB Signals Xover North of James James SB Signals Delay (s) Delay (s) James James Xover South of James Delay (s) Delay (s) Holland, MI

  20. Offset Recalibration After Wednesday Sept. 13, 2017 AD = 2 s TD = 133 min NB Signals Xover North of James James SB Signals Delay (s) Delay (s) James James Xover South of James Delay (s) Delay (s) Holland, MI

  21. Offset Recalibration After Wednesday Sept. 6, 2017 Cycle Time (s) Delay (s) AOG = 61% AD = 7 s TD = 393 min Wednesday Sept. 13, 2017 Cycle Time (s) Delay (s) AOG = 91% AD = 2 sec Holland, MI TD = 133 min

  22. Probe Vehicle Data Data History MAC Address Timestamp 84:25:DB:29:7F:34 9/8/2013 14:24:32 • GPS Probe Vehicles – 1990s 00:08:E0:3B:78:55 9/8/2013 14:24:35 65:E0:3E:17:62:50 9/8/2013 14:24:39 • Bluetooth Matching – 2008 84:25:DB:29:7F:34 00:08:E0:3B:78:55 65:E0:3E:17:62:50 Pole Mounted Bluetooth Monitoring Station

  23. Probe Vehicle Data History Data Point • GPS Probe Vehicles – 1990s Data Point • Bluetooth Matching – 2008 Data Point • Crowdsourcing – 2010s Data Point Data Point Data Point Data Point Data Point

  24. What is Crowd Sourced Data Explanation A record consists of a Segment ID, a Time, and a Speed Tmc TimeDate Speed 107+04800 5/1/2013 11:00 63 107+04800 5/1/2013 11:01 63 107+04800 5/1/2013 11:02 63 107+04800 5/1/2013 11:03 63 107+04800 5/1/2013 11:04 64 107+04800 5/1/2013 11:05 63 107+04800 5/1/2013 11:06 63 107+04800 5/1/2013 11:07 62 107+04800 5/1/2013 11:08 62 107+04800 5/1/2013 11:09 63 107+04800 5/1/2013 11:10 63 107+04800 5/1/2013 11:11 62 107+04800 5/1/2013 11:12 62 Over 20,000 Segments in 107+04800 5/1/2013 11:13 62 the state of Michigan 107+04800 5/1/2013 11:14 61 24

  25. INDOT ITS INFRASTRUCTURE Gary/Chicago Gary/Chicago Indianapolis Louisville Indianapolis

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