Arterial Performance Measures Workshop Transportation Education Series Hosted by Kittelson & Associates, Inc. February 4 t...
Presentation Overview <ul><li>Defining Arterial Performance </li></ul><ul><li>Tualatin-Sherwood Road Probe Data Example </...
Arterial Performance Big Picture <ul><li>Why monitor arterial performance?  </li></ul><ul><ul><li>Active Response </li></u...
Tualatin-Sherwood Probe Data Study <ul><li>MAC Reader Technology Overview </li></ul><ul><li>Study Background </li></ul><ul...
Tualatin-Sherwood Road Study Area <ul><li>Tualatin-Sherwood Road (SW Portland Suburbs) </li></ul><ul><li>~2.5 miles in len...
MAC Reader Technology Overview <ul><li>Media Access Control (MAC) = unique identifier by manufacturer, 48 bit (>28 trillio...
MAC Reader Background – Address Matching STATION  1  STATION 2 First to First First to First Last to Last Last to Last
MAC Probe Technique Benefits <ul><li>Higher amounts of collected data </li></ul><ul><ul><li>Highway & arterial travel time...
MAC Probe Data Opportunities <ul><li>Arterial performance measurement </li></ul><ul><ul><li>Corridor studies and signal ti...
MAC Probe Data Challenges <ul><li>Travel Time Outliers (pass-by trips, peds, etc.) </li></ul><ul><ul><li>Good data vs. bad...
MAC Reader Corridor Test 1 <ul><li>Objectives </li></ul><ul><ul><li>Compare manual vs. MAC travel times </li></ul></ul><ul...
Travel Time Profile (~9 days)
Travel Time: Manual vs. MAC Manual trend shows increasing travel time, while MAC shows end of congestion MAC points match ...
Travel Time Profile (2 days) ?
Large sample size during peak and off-peak Free 95 105 100 Free Cycle Length (sec) 105
MAC Readers to Measure Signal Timing Impacts <ul><li>February travel times confirmed issues with signal timing </li></ul><...
Before (Orange) and After (Blue) Timing Change <ul><li>Significant reduction in travel time and variability </li></ul>West...
Before (Orange) and After (Blue) Timing Change Westbound
Impact of Signal Timing Change 0.2 0.7 -4 -23 Difference 18.8 19.4 366 336 March 19.0 20.1 371 360 February PM 2.9 4.3 -40...
MAC Travel Time    Incident Tracking Suspected Incidents Travel Time (s) Travel Speed (mph)
MAC Probe Data – Origin-Destination Sampling <ul><li>Regional travel demand model comparisons </li></ul><ul><li>Route sele...
MAC Probe Data vs. Automatic License Plate <ul><li>Approximately within 5% </li></ul>Figure 8: Station 1-6 O-D ANPR and MA...
MAC Probe Data – Origin-Destination Sampling
MAC Probe Data – Origin-Destination Sampling
KAI Probe MAC Data Projects
<ul><li>Start Darcy’s Presentation </li></ul>
Arterial Signal Based Data - Voyage <ul><li>Insert NWS Graphic  </li></ul>
Regional Perspective on Arterial Performance <ul><li>Operations monitoring </li></ul><ul><li>Real-time traveler informatio...
Operations monitoring <ul><li>Application on key corridors to aid decision making </li></ul><ul><ul><li>Prioritizing annua...
State of the Practice: Cameras <ul><li>Cameras at key locations </li></ul><ul><ul><li>Provides data, not information </li>...
State of the Practice: Controller Data
Real-time Traveler Information <ul><li>Comprehensive traveler information on arterials would yield routing decisions for a...
Real-time routing for emergency services <ul><li>During events we can use information to: </li></ul><ul><ul><li>Manage eme...
Multimodal applications <ul><li>By collecting information with MAC Addresses, we collect data from all modes  </li></ul><u...
Discussion?
Thank you for attending/Contact Information <ul><li>Peter Koonce </li></ul><ul><li>Portland Bureau of Transportation </li>...
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KAI - Arterial Performance Measures 02-03-10

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This presentation focuses on arterial performance measures, reviewing two successful case studies:

- KAI’s validation of Bluetooth MAC readers and their measurement of signal timing changes using MAC readers along Tualatin-Sherwood Road
- Purdue University’s research, led by Dr. Darcy Bullock to field measure quality of signal timing offsets and vehicle arrivals on green versus red using local controller software
- Peter Koonce provided an overview of arterial performance within the City of Portland and a regional vision for next steps, particularly focused on multi-modal and emergency management applications of the arterial data currently collected and to be collected in the future.

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  • Traditional = Bus AVL, manual TT or OD Next Gen = Bluetooth, Adv. Signal Software, Cellular, Freight AVL, Wireless Magnetometers/Loop Signature
  • KAI - Arterial Performance Measures 02-03-10

    1. 1. Arterial Performance Measures Workshop Transportation Education Series Hosted by Kittelson & Associates, Inc. February 4 th , 2010 Peter Koonce, P.E.; City of Portland Dr. Darcy Bullock, P.E.; Purdue University Shaun Quayle, P.E.; Kittelson & Associates, Inc.
    2. 2. Presentation Overview <ul><li>Defining Arterial Performance </li></ul><ul><li>Tualatin-Sherwood Road Probe Data Example </li></ul><ul><li>Purdue University Arterial Performance Research Case Study </li></ul><ul><li>Regional Perspective, where to go from here? </li></ul><ul><li>Discussion </li></ul>
    3. 3. Arterial Performance Big Picture <ul><li>Why monitor arterial performance? </li></ul><ul><ul><li>Active Response </li></ul></ul><ul><ul><li>Optimize & react! </li></ul></ul><ul><ul><li>$$$ & environmental benefits </li></ul></ul><ul><li>Many forms of data </li></ul><ul><ul><li>Point-based vs. Corridor-based </li></ul></ul><ul><li>Many ways of collecting it </li></ul><ul><ul><li>Traditional vs. next generation data & monitoring </li></ul></ul>
    4. 4. Tualatin-Sherwood Probe Data Study <ul><li>MAC Reader Technology Overview </li></ul><ul><li>Study Background </li></ul><ul><li>Study Focus </li></ul><ul><ul><li>Validate MAC Readers compared to Manual Methods </li></ul></ul><ul><ul><li>MAC-based travel time comparison </li></ul></ul><ul><ul><ul><li>Impact of spring break </li></ul></ul></ul><ul><ul><ul><li>Impact of signal timing changes </li></ul></ul></ul>
    5. 5. Tualatin-Sherwood Road Study Area <ul><li>Tualatin-Sherwood Road (SW Portland Suburbs) </li></ul><ul><li>~2.5 miles in length </li></ul><ul><li>~40,000 ADT – 4 lane commercial arterial </li></ul>MAC reader locations AVERY STREET FRED MEYER ACCESS NYBERG / 65th MANUAL FLOATING CAR TRAVEL TIME RUNS
    6. 6. MAC Reader Technology Overview <ul><li>Media Access Control (MAC) = unique identifier by manufacturer, 48 bit (>28 trillion) characters </li></ul><ul><li>Bluetooth TM = common name for wireless radio frequency communication protocol between electronic devices </li></ul>00:1E:3D:AF:DA:C5 Auto Pedestrian Bike Bus/LRT TEXT FILE MS ACCESS FILE PERSONAL DEVICE FIELD RADIO & ANTENNA MINI COMPUTER (IN CABINET) OUTPUT KAI CUSTOM SOFTWARE Truncated MAC Address
    7. 7. MAC Reader Background – Address Matching STATION 1 STATION 2 First to First First to First Last to Last Last to Last
    8. 8. MAC Probe Technique Benefits <ul><li>Higher amounts of collected data </li></ul><ul><ul><li>Highway & arterial travel times, running speeds, and origin-destination </li></ul></ul><ul><ul><li>Off-peak & weekend; 7 days a week </li></ul></ul><ul><li>Permanent or temporary deployment </li></ul><ul><ul><li>Future communications infrastructure integration </li></ul></ul><ul><li>Cost Effectiveness </li></ul><ul><ul><li>Easily attainable data for relatively low costs compared to existing technologies and techniques </li></ul></ul><ul><ul><ul><li>Compare to GPS travel time runs </li></ul></ul></ul><ul><ul><ul><li>Compare to license plate surveys </li></ul></ul></ul>
    9. 9. MAC Probe Data Opportunities <ul><li>Arterial performance measurement </li></ul><ul><ul><li>Corridor studies and signal timing updates </li></ul></ul><ul><ul><li>Real-time measurement  ITS </li></ul></ul><ul><ul><li>Traveler information dissemination </li></ul></ul><ul><li>Travel demand models </li></ul><ul><ul><li>Origin-destination sample data </li></ul></ul><ul><ul><li>Possible mode evaluation & route selection </li></ul></ul><ul><li>Validating/complementing other technologies </li></ul><ul><ul><li>System detectors </li></ul></ul><ul><ul><li>Advanced signal software MOE’s </li></ul></ul><ul><ul><li>Transit AVL / Transit Signal Priority </li></ul></ul>
    10. 10. MAC Probe Data Challenges <ul><li>Travel Time Outliers (pass-by trips, peds, etc.) </li></ul><ul><ul><li>Good data vs. bad data </li></ul></ul><ul><ul><li>“ Average” travel times </li></ul></ul><ul><ul><li>Multiple modes </li></ul></ul><ul><li>Fidelity </li></ul><ul><ul><li>Data is macroscopic </li></ul></ul><ul><ul><li>No “stop” data </li></ul></ul><ul><li>Strategic placement </li></ul><ul><ul><li>Influences of variable traffic conditions </li></ul></ul><ul><ul><li>Mid-block is preferred, but not always available </li></ul></ul>
    11. 11. MAC Reader Corridor Test 1 <ul><li>Objectives </li></ul><ul><ul><li>Compare manual vs. MAC travel times </li></ul></ul><ul><ul><li>Prove longer-term field concept </li></ul></ul><ul><li>Manual floating car GPS travel time runs </li></ul><ul><ul><li>Approximately 12 two-way trips (3 drivers) </li></ul></ul><ul><ul><li>Sample of ~<1%, only in peak hours </li></ul></ul><ul><ul><li>Wednesday, 2/11/09 </li></ul></ul><ul><li>MAC Reader Technology Deployment </li></ul><ul><ul><li>24 hours/7 days a week </li></ul></ul><ul><ul><li>9 days (Tuesday, 2/10/09 to Thursday, 2/19/09) </li></ul></ul><ul><ul><li>Capture rate ~ 3 to 4% of ADT </li></ul></ul>
    12. 12. Travel Time Profile (~9 days)
    13. 13. Travel Time: Manual vs. MAC Manual trend shows increasing travel time, while MAC shows end of congestion MAC points match manual points
    14. 14. Travel Time Profile (2 days) ?
    15. 15. Large sample size during peak and off-peak Free 95 105 100 Free Cycle Length (sec) 105
    16. 16. MAC Readers to Measure Signal Timing Impacts <ul><li>February travel times confirmed issues with signal timing </li></ul><ul><li>Signal Timings Modified </li></ul><ul><ul><li>Correct RR preempt recovery routing </li></ul></ul><ul><ul><li>Bring a signal back into coordination due to communications issue </li></ul></ul><ul><li>Redeploy MAC readers in March to gauge impact of changes </li></ul>
    17. 17. Before (Orange) and After (Blue) Timing Change <ul><li>Significant reduction in travel time and variability </li></ul>Westbound Eastbound
    18. 18. Before (Orange) and After (Blue) Timing Change Westbound
    19. 19. Impact of Signal Timing Change 0.2 0.7 -4 -23 Difference 18.8 19.4 366 336 March 19.0 20.1 371 360 February PM 2.9 4.3 -40 -57 Difference 23.9 25.1 291 278 March 21.0 20.8 332 335 February AM West East West East   Speed (mph) Travel Time (sec.)  
    20. 20. MAC Travel Time  Incident Tracking Suspected Incidents Travel Time (s) Travel Speed (mph)
    21. 21. MAC Probe Data – Origin-Destination Sampling <ul><li>Regional travel demand model comparisons </li></ul><ul><li>Route selection </li></ul><ul><li>Progression analyses </li></ul>
    22. 22. MAC Probe Data vs. Automatic License Plate <ul><li>Approximately within 5% </li></ul>Figure 8: Station 1-6 O-D ANPR and MAC Data (Wednesday 18 th of September 2009)
    23. 23. MAC Probe Data – Origin-Destination Sampling
    24. 24. MAC Probe Data – Origin-Destination Sampling
    25. 25. KAI Probe MAC Data Projects
    26. 26. <ul><li>Start Darcy’s Presentation </li></ul>
    27. 27. Arterial Signal Based Data - Voyage <ul><li>Insert NWS Graphic </li></ul>
    28. 28. Regional Perspective on Arterial Performance <ul><li>Operations monitoring </li></ul><ul><li>Real-time traveler information and routing choices </li></ul><ul><li>Multimodal applications </li></ul><ul><li>Policy assessments </li></ul>
    29. 29. Operations monitoring <ul><li>Application on key corridors to aid decision making </li></ul><ul><ul><li>Prioritizing annual signal retiming </li></ul></ul><ul><ul><li>Managing the arterial street system </li></ul></ul><ul><ul><ul><li>Special or weather events </li></ul></ul></ul>
    30. 30. State of the Practice: Cameras <ul><li>Cameras at key locations </li></ul><ul><ul><li>Provides data, not information </li></ul></ul><ul><ul><li>Point data </li></ul></ul><ul><ul><li>Not always useful </li></ul></ul><ul><li>Linked to action? </li></ul><ul><ul><li>Sometimes </li></ul></ul>
    31. 31. State of the Practice: Controller Data
    32. 32. Real-time Traveler Information <ul><li>Comprehensive traveler information on arterials would yield routing decisions for all users </li></ul>Planning mode choice (travel time estimates)
    33. 33. Real-time routing for emergency services <ul><li>During events we can use information to: </li></ul><ul><ul><li>Manage emergency routes/services </li></ul></ul><ul><ul><li>Modify transit schedules </li></ul></ul><ul><ul><li>Change traffic signal timing and lane use assignment (Mall) </li></ul></ul><ul><ul><li>Dispatch snow equipment </li></ul></ul><ul><li>During emergency response we can provide information to: </li></ul><ul><ul><li>Reduce response time </li></ul></ul><ul><ul><li>Enable communication regarding railroad status </li></ul></ul>
    34. 34. Multimodal applications <ul><li>By collecting information with MAC Addresses, we collect data from all modes </li></ul><ul><ul><li>People on buses, bikes, in their cars, pedestrians </li></ul></ul><ul><li>Data comparison (Arterial data fusion) will inform strategic investments </li></ul>
    35. 35. Discussion?
    36. 36. Thank you for attending/Contact Information <ul><li>Peter Koonce </li></ul><ul><li>Portland Bureau of Transportation </li></ul><ul><li>[email_address] </li></ul><ul><li>Shaun Quayle </li></ul><ul><li>Kittelson & Associates, Inc. </li></ul><ul><li>[email_address] </li></ul><ul><li>Darcy Bullock </li></ul><ul><li>Purdue University </li></ul><ul><li>[email_address] </li></ul>

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