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ITS Heartland 2012 …

ITS Heartland 2012
Annual Meeting
Kansas City, MO

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Presented by Nicole Oneyear, Ph.D. Student, Iowa State University, Skylar Knickerbocker, Graduate Research Assistant, Iowa State University, and Nick Hinnerichs, Graduate Student, INTRANS Iowa State University

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  • Note that this is only for major corridors
  • Limitation of this is the speeds given are mean speeds of vehicles for the 5 minutes time period, so we aren’t capturing true 85th percentile speed

Transcript

  • 1. Civil Construction and Environmental Engineering ITS Heartland 2012 Student Competition Nicole Oneyear, Skylar Knickerbocker, and Nick Hinnerichs
  • 2. Study Purpose• To evaluate real world ITS operations data• Demonstrate uses of the data• Give recommendations on how the data can be used
  • 3. Data Prep• Queried metrics using MYSQL Database to output smaller .csv files – Day of the week – Location – Peak Hour
  • 4. Data Analysis• Considered speed a direct correlation of congestion• Standard deviation was used as a reliability indicator• 85th percentile speeds were used as indicators when examining speed limit compliance• Mean speed was used as a congestion indicator
  • 5. Scope of Study• How has travel time and reliability changed from 2009 to 2011?• How reliable is the network for commuters?• Do users tend to comply with the speed limits in the area?• Do major events have a large effect on travel time within the corridor?
  • 6. CHANGES TO RELIABILITYOVER TIME Picture from: http://www.floridaits.com
  • 7. Standard Deviation Std Dev 4.5 6 8 9 10 11 12 Standard Deviation (in mph) for links in 2011 Std Dev 4.5 6 8 9 10 11 12
  • 8. Results• Small changes on various routes within the corridor• Mean speeds appear to be in accordance with their speed limits• Major routes overall appear to have less variance• Reliability appears to have improved from 2009 to 2011
  • 9. HOW RELIABLE IS THENETWORK FOR COMMUTERS
  • 10. Background• Congestion has increased impacts on commuters• For this study AM Peak = 6AM to 9AM PM Peak = 3PM to 6PM
  • 11. AM Peak I-435 I-635 I-70 2009 2011 2009 2011 2009 2011 Mean Speed 64.85 65.10 64.90 64.64 64.79 64.47 Monday Standard Dev 1.06 2.06 0.95 1.95 1.70 2.51 Mean Speed 64.83 65.02 64.80 64.50 64.53 64.17 Tuesday Standard Dev 1.28 1.98 1.57 1.82 2.52 2.47 Mean Speed 64.90 64.94 64.83 64.44 64.51 64.01Wednesday Standard Dev 1.02 1.90 1.20 2.19 2.15 2.76 Mean Speed 64.91 65.04 64.73 64.51 64.51 63.98Thursday Standard Dev 0.89 2.00 2.34 1.91 2.48 2.40 Mean Speed 64.83 64.96 64.86 64.43 64.52 64.19 Friday Standard Dev 1.54 1.88 1.09 2.16 2.31 2.58
  • 12. PM Peak I-435 I-635 I-70 2009 2011 2009 2011 2009 2011 Mean Speed 63.81 66.40 63.05 64.80 64.09 64.95 Monday Standard Dev 5.71 4.94 4.60 3.43 4.02 2.97 Mean Speed 63.40 66.60 62.92 64.58 63.86 65.23 Tuesday Standard Dev 7.03 4.11 4.75 3.17 5.23 3.06 Mean Speed 63.83 66.78 63.16 64.19 64.07 64.73Wednesday Standard Dev 5.57 3.26 4.54 3.48 4.26 3.77 Mean Speed 63.98 66.72 62.93 64.17 62.25 64.55Thursday Standard Dev 4.67 3.16 4.40 3.38 4.20 3.97 Mean Speed 64.31 66.74 62.74 64.20 64.36 65.09 Friday Standard Dev 4.58 3.32 4.84 3.35 4.18 3.25
  • 13. AM Peak Hour 2009 – Std Dev of Speeds and Difference from Mean Speed Average Std Dev 0 AM Peak 7 10 12 AM Peak Hour 2011 – Std Dev of Speeds and Difference from Mean Speed Average Std Dev 0 7 10 12
  • 14. PM Peak Hour 2009 – Std Dev of Speeds and Difference from Mean Speed Average Std Dev 0 7 PM Peak 10 12 PM Peak Hour 2011 – Std Dev of Speeds and Difference from Mean Speed Average Std Dev 0 7 10 12
  • 15. Results• Mean speeds are similar for AM and PM Peak• Standard Deviation in speeds is larger in PM• Congestion appears to have decreased from 2009 to 2011• The entire network displays similar results
  • 16. DO USERS TEND TO COMPLYWITH THE SPEED LIMITS?
  • 17. Speed Limit Compliance - 2009 & 2011 80 70Number of Links 60 50 40 30 20 10 2009 0 2011 Difference between 85th Percentile Speed and Speed Limit
  • 18. Results• Speed limit compliance was reasonable• Majority of speeds less than 5 mph over the speed limit• Distribution is shifting towards a higher speed from 2009 to 2011 and therefore compliance is decreasing
  • 19. PLAZA AT THE SPEEDWAY Parallel Parkway 40,000 car’s per day CERNER 18 ACRE OF F ICE PARK SOCCER COMPL EXDO MAJOR EVENTS HAVE A LARGEEFFECT ON TRAVEL TIME WITHIN THECORRIDOR?
  • 20. 67 66 65Mean Speed (mph) 64 I70-2011 63 I70-June 5th 62 61 60 8am 9am 10am 11am 12pm 4pm 5pm 6pm 7pm 8pm
  • 21. 67.5 67 66.5 66Mean Speed (mph) 65.5 65 I435-2011 I435-June 5th 64.5 64 63.5 63 62.5 8am 9am 10am 11am 12pm 4pm 5pm 6pm 7pm 8pm
  • 22. Results• Not much effects compared to other Sunday’s before the race event• I-70 showed increased congestion the hour after the race• I-435 showed increased congestion after the race
  • 23. Summary• Travel time reliability seemed to improve from 2009 to 2011• The PM peak appears to be less reliable than the AM peak• Speed limit compliance is quite good, but has been decreasing from 2009 to 2011• Major events do have some effect on congestion, however it was not as bad as expected.
  • 24. Recommendations• Use of DMS which display travel times are helpful in giving commuters options for rerouting• Data can be used to help determine where traffic enforcement is necessary• Use DMS or CMS to inform drivers of routes to take during major events Photo: