using cell phone technology to collect travel data d. kyle ward may 11, 2011

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

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Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011. Outline. 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 - PowerPoint PPT Presentation

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

Using Cell Phone Technology to Collect Travel Data

D. Kyle WardMay 11, 2011

Page 2: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

• 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

Page 3: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

• 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

Page 4: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

• 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

Page 5: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

• Congestion Management Process– Yearly data collection program– Before and After Metrics– Congestion Monitoring– Project Identification– Project Programming

Application to MPO

Page 6: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

Application to MPO

• Travel Demand Modeling– Validation of Speeds and Travel Time– Volume-Delay Functions

• Accurate Free-Flow Speeds• Speed data matched to counts

Page 7: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

Pilot Results

5:30 pm

Page 8: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

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

Page 9: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

Pilot Results

• Speed profiles– Peak vs All Day Congestion– Weekend Congestion

Page 10: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

• 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

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

• 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

Page 12: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

Competing Tech

• Infrastructure-based monitoring– Example: Bluetooth

• Expensive• Limited Coverage

• GPS– More accurate– Less samples (but growing)

• GPS-enabled devices doubling every year?

Page 13: Using Cell Phone Technology to Collect Travel Data D. Kyle Ward May 11, 2011

Questions?

D. Kyle Ward, EI

Transportation Engineer

(919) 996-4395

[email protected]