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 Presentation at the 15 th TRB National Transportation Planning Applications Conference Atlantic City, NJ Monday, May 18 th Nick Wood, P.E. Texas A&M.

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Presentation on theme: " Presentation at the 15 th TRB National Transportation Planning Applications Conference Atlantic City, NJ Monday, May 18 th Nick Wood, P.E. Texas A&M."— Presentation transcript:

1  Presentation at the 15 th TRB National Transportation Planning Applications Conference Atlantic City, NJ Monday, May 18 th Nick Wood, P.E. Texas A&M Transportation Institute (TTI)

2  From TTI: Joan Hudson Boya Dai Shawn Turner  Cathy Stephens and the CAMPO staff

3  CMP is a Federal requirement o Systematic framework for analyzing & incorporating congestion management into planning process  CAMPO uses a Roadway Congestion Analysis to meet part of that requirement o Six counties in Central Texas, surrounding Austin o Conducted every two years  Old methods are problematic o Floating car method is limited o New technologies can be harnessed

4  New to the Roadway Congestion Analysis o RFP issued for speed data o Variety of sources– third-party providers and in- house Bluetooth readers o Volume weighting – higher volume roads have a higher ranking o Performance measures  Extent of Study o Over 1,300 centerline miles included o 942 segments o 2.8 miles in length on average

5  TTI issued RFP on behalf of CAMPO for historical speed data  Required Specifications o Speed data shall be provided for 2012 year o Data provided in a table and GIS o 15-minute intervals o Averaged by day of week o Key metrics (min, max, percentiles)  Two vendors responded

6  Motor vehicle speed data o 2012 INRIX TMC (traffic message channel) o 2013 INRIX XD Traffic o Anonymous Wireless Address Matching (AWAM) with Bluetooth readers, Feb 2014  Coverage issues  Differences in years were noted in final report

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8  Segmentation o Shorter segments in densely populated urban areas o Medium segments in suburban areas o Longer segments in rural areas  Conflation o Match the motor vehicle volume data to the speed data o Allows for volume-weighting  Rolling peak periods o 2-hour worst total delay selected from 6-10am, 3:30-8:30pm  Reference speeds based on non-congested travel or speed limit (whichever is lower)

9 Rolling Peak Periods Created because peak of congestion occurs differently for different parts of the region Example: A Policy Board Member from an outlying area may be unhappy with limited time period based on CBD. PM Peak Periods (Selected)

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11  1,300 miles of roadway  Average delay o 200,000 vehicle-hours per weekday  Annual delay o Only 2012 TMC: 44 million veh-hours o Including 2013 xD: 48 million veh-hours o Including Bluetooth: Total of 52 million veh-hours

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16  Travel times runs are problematic o Costly to collect o Not longitudinally representative  Quality Control is Important! o Flat line speed profiles are not good  Visualization helps to tell the story o Make an effort to create eye-popping graphics  Future CMPs and analyses will rely more on combing different data sources together o Formats and methodologies will likely not match o Document the limitations

17  Contact info: o Nick Wood, P.E., nickwood@tamu.edunickwood@tamu.edu o Joan G. Hudson, P.E., j-hudson@tamu.eduj-hudson@tamu.edu o Boya Dai, b-dai@ttimail.tamu.edub-dai@ttimail.tamu.edu o Shawn Turner, P.E., shawn-turner@tamu.edushawn-turner@tamu.edu


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