Implementing cell gps data sets d kyle ward may 3 2012
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Implementing Cell & GPS Data Sets D. Kyle Ward May 3, 2012. Outline. Intro to Tech Application to MPO Business Model Congestion Management Process Travel Demand Modeling Results Speed Origin-Destination Concerns Looking Forward. Review of Cell Tech.

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Implementing Cell & GPS Data Sets D. Kyle Ward May 3, 2012

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Implementing cell gps data sets d kyle ward may 3 2012

Implementing Cell & GPSData SetsD. Kyle WardMay 3, 2012


Implementing cell gps data sets d kyle ward may 3 2012

Outline

  • Intro to Tech

  • Application to MPO Business Model

    • Congestion Management Process

    • Travel Demand Modeling

  • Results

    • Speed

    • Origin-Destination

  • Concerns

  • Looking Forward


Implementing cell gps data sets d kyle ward may 3 2012

Review of Cell Tech

  • 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

    • Origin – Destination

    • Demographics


Implementing cell gps data sets d kyle ward may 3 2012

Review of GPS Tech

  • Targets mobile GPS devices

    • Smart Phones

    • In-vehicle systems like OnStarTM

  • Benefit/Cost

    • More accurate

    • Smaller sample size


Implementing cell gps data sets d kyle ward may 3 2012

Application to MPO

  • Congestion Management Process

    • Yearly data collection program

    • Before and After Metrics

    • Congestion Monitoring

    • Project Identification

    • Project Programming


Implementing cell gps data sets d kyle ward may 3 2012

Application to MPO

  • Travel Demand Modeling

    • Validation of Speeds and Travel Time

    • Volume-Delay Functions

      • Accurate Free-Flow Speeds?

      • Speed data matched to hourly counts

    • Origin-Destination Validation

    • In the future, this data could be used to support non-recurring congestion models


Implementing cell gps data sets d kyle ward may 3 2012

Cell Speed Pilot

  • 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


Implementing cell gps data sets d kyle ward may 3 2012

4:15 pm

4:30 pm

4:45 pm

5:15 pm

5:30 pm

5:00 pm

  • Queue backs up along I-40

  • First signs of slowing

    • I-40 at Wade Avenue

    • US 70 between Lynn and Millbrook

  • Bottleneck at Wade

  • Delay peaks on all routes

  • US 70 bottlenecks

  • I-440 begins to slow

  • I-40 congestion worsens

2/6

1/6

3/6

4/6

5/6

6/6

Speed Results

Source: AirSage Cell Data


Implementing cell gps data sets d kyle ward may 3 2012

Speed Results

  • Speed profiles

    • Peak vs All Day Congestion

    • Weekend Congestion

Source: AirSage Cell Data


Implementing cell gps data sets d kyle ward may 3 2012

Origin-Destination

  • Contracted with AirSage to perform OD

    • Research Project

    • Describe travel among ~200 Census Tracts


Implementing cell gps data sets d kyle ward may 3 2012

OD Comparison

  • Comparing three data sets

    • Expanded Household Survey

    • AirSage OD

    • Triangle Regional Model (version 5)


Implementing cell gps data sets d kyle ward may 3 2012

Target Area

Downtown Raleigh, NC


Implementing cell gps data sets d kyle ward may 3 2012

Trip Totals

  • Total Trips to Downtown Raleigh


Implementing cell gps data sets d kyle ward may 3 2012

Trips to Raleigh, NC

Expanded Household Survey


Implementing cell gps data sets d kyle ward may 3 2012

Trips to Raleigh, NC

AirSage Expanded Survey


Implementing cell gps data sets d kyle ward may 3 2012

Trips to Raleigh, NC

Triangle Regional Model (V5)


Implementing cell gps data sets d kyle ward may 3 2012

OD Conclusions

  • Discrepancies in total number of trips

  • AirSage seems to capture travel pattern

    • Want to re-run with new Verizon sample

  • Regional model “smears” trips

  • Other areas were tested where the three datasets aligned much closer


Implementing cell gps data sets d kyle ward may 3 2012

Concerns

  • Number 1 Concern: Privacy

  • Three key points

    • No personal data

    • Aggregated Data

    • Liability is with data provider – not user


Implementing cell gps data sets d kyle ward may 3 2012

Speed Concerns

  • Handling of Signal Delay

    • Cell data appears to capture

    • GPS does not (possibly too accurate?)

  • Speed Capping

    • Default datasets capped at posted speeds

    • INRIX global cap of 65 mph

    • Poor posted speed data impacts results


Implementing cell gps data sets d kyle ward may 3 2012

Looking Forward

  • Work continues with data companies

    • Remove speed caps

    • Capture signal delay

  • New cell products tested in other regions

    • Select link

    • Sub-area cordon surveys

    • Corridor surveys


Implementing cell gps data sets d kyle ward may 3 2012

  • Questions?

  • D. Kyle Ward, EI

  • Transportation Engineer

  • (919) 996-4395

  • [email protected]


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