implementing cell gps data sets d kyle ward may 3 2012
Download
Skip this Video
Download Presentation
Implementing Cell & GPS Data Sets D. Kyle Ward May 3, 2012

Loading in 2 Seconds...

play fullscreen
1 / 21

Implementing Cell & GPS Data Sets D. Kyle Ward May 3, 2012 - PowerPoint PPT Presentation


  • 96 Views
  • Uploaded on

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.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Implementing Cell & GPS Data Sets D. Kyle Ward May 3, 2012' - alyssa-harrington


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide2
Outline
  • Intro to Tech
  • Application to MPO Business Model
    • Congestion Management Process
    • Travel Demand Modeling
  • Results
    • Speed
    • Origin-Destination
  • Concerns
  • Looking Forward
slide3
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
slide4
Review of GPS Tech
  • Targets mobile GPS devices
    • Smart Phones
    • In-vehicle systems like OnStarTM
  • Benefit/Cost
    • More accurate
    • Smaller sample size
slide5
Application to MPO
  • Congestion Management Process
    • Yearly data collection program
    • Before and After Metrics
    • Congestion Monitoring
    • Project Identification
    • Project Programming
slide6
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
slide7
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
slide8
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

slide9
Speed Results
  • Speed profiles
    • Peak vs All Day Congestion
    • Weekend Congestion

Source: AirSage Cell Data

slide10
Origin-Destination
  • Contracted with AirSage to perform OD
    • Research Project
    • Describe travel among ~200 Census Tracts
slide11
OD Comparison
  • Comparing three data sets
    • Expanded Household Survey
    • AirSage OD
    • Triangle Regional Model (version 5)
slide12
Target Area

Downtown Raleigh, NC

slide13
Trip Totals
  • Total Trips to Downtown Raleigh
slide14
Trips to Raleigh, NC

Expanded Household Survey

slide15
Trips to Raleigh, NC

AirSage Expanded Survey

slide16
Trips to Raleigh, NC

Triangle Regional Model (V5)

slide17
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
slide18
Concerns
  • Number 1 Concern: Privacy
  • Three key points
    • No personal data
    • Aggregated Data
    • Liability is with data provider – not user
slide19
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
slide20
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
slide21
Questions?
ad