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Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011.

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Presentation on theme: "Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011."— Presentation transcript:

1 Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

2 Intro to Tech and Pilot Program Application to MPO Business Model –Congestion Management Process –Travel Demand Modeling Pilot Results Future of the Technology –Origin-Destination Estimation –Viability vs. Competing Technology Outline

3 Uses cell-tower triangulation to locate cellular devices –Similar to GPS, but less accurate –Ubiquitous cell phone use compared to GPS Numerous metrics can be estimated –Speeds –Demographics Intro to Tech

4 Contracted with AirSage –834 centerline miles of coverage –Significant arterial coverage –24/7 for March, 2010 –Data scrubbed of personal information –Fraction the cost of traditional methods Speed Pilot

5 Congestion Management Process –Yearly data collection program –Before and After Metrics –Congestion Monitoring –Project Identification –Project Programming Application to MPO

6 Travel Demand Modeling –Validation of Speeds and Travel Time –Volume-Delay Functions Accurate Free-Flow Speeds Speed data matched to counts

7 Pilot Results 5:30 pm

8 Pilot Results 4:15 pm First signs of slowing –I-40 at Wade Avenue –US 70 between Lynn and Millbrook 1/6 4:30 pm Bottleneck at Wade 2/6 4:45 pm Queue backs up along I-40 3/6 5:00 pm I-440 begins to slow I-40 congestion worsens 4/6 5:15 pm US 70 bottlenecks 5/6 5:30 pm Delay peaks on all routes 6/6

9 Pilot Results Speed profiles –Peak vs All Day Congestion –Weekend Congestion

10 Concerns –Validation of Results? Purchase from different vendor/tech –Default speed data capped at speed limit Poor posted speed data impacts results Uncapped speeds prone to outliers –Solution: establish reference speeds Pilot Results

11 Modeling of Non-Recurring Congestion –5-minute interval data reporting Origin-Destination Estimation –Currently being piloted by the MPO/Airsage –Requires enormous amount of observations Currently not possible with GPS –Estimation of all trips, regardless of purpose Future Applications

12 Competing Tech Infrastructure-based monitoring –Example: Bluetooth Expensive Limited Coverage GPS –More accurate –Less samples (but growing) GPS-enabled devices doubling every year?

13 Questions? D. Kyle Ward, EI Transportation Engineer (919) 996-4395 Kyle.Ward@campo-nc.us


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