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Validating Predicted Rural Corridor Travel Times from an Automated License Plate Recognition System:...
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![Page 1: Validating Predicted Rural Corridor Travel Times from an Automated License Plate Recognition System: Oregon’s Frontier Project Presented by: Zachary Horowitz.](https://reader035.fdocuments.net/reader035/viewer/2022070402/56649f225503460f94c3b7db/html5/thumbnails/1.jpg)
Validating Predicted Rural CorridorTravel Times from an AutomatedLicense Plate Recognition System:
Oregon’s Frontier Project
Presented by:Zachary HorowitzPortland State UniversityJuly 12, 2005
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Presentation Outline Introduction and Research Objective
Study Corridor
Frontier Time Travel System
Data
Analysis
Results and Conclusions
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Frontier Time Travel Project California – Oregon Advanced Transportation
System (COATS)
ITS Technology deployed in rural settings
Pooled Fund Study in eight western states
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Research Objective
A field evaluation of a corridor time travelprediction system using license plate recognitionsoftware
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Study Area – Camera Locations
3.15 mi22.25 mi
6 Cameras/3 Sites (1 per direction) US 101 north of Lincoln City OR-18 near Otis OR-18 near Grand Ronde
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Study Area – OR-18 Details
25 mile rural route between Portland and Oregon coast Primarily 2-lane highway with passing lanes Carries heavy weekend, recreational travel Major truck route to coast Known to be congested during weekends/holidays and summer Average daily traffic (ADT):
East of Grand Ronde: 20,000 West of Grand Ronde: 10,000
No traffic signals Directional interchange at US 101
http://www.epinions.com/park-Parks-All-OR-HB_Van_Duzer_Forest_State_Scenic_Corridor
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Frontier Travel Time SystemCameras, license plateReader, software
Communication
Travel time calculationsoftware / processing
ITS technologiessuch as VMS, Tripcheck
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Experiment Almanac
Sunday, July 13, 2003 andFriday, July 2, 2004
Higher volume, summer, weekend, holiday
Sample sizes of probe vehicles: 6, 7
Route: (Lincoln City to Valley Junction to L. City) 2
10 minute headways with SOP instructions
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Day 1 – Sunday, July 13, 2003
Palm OS with GPS, running ITS-GPS: 4 veh.
Windows laptop PC’s, running CoPilot: 2 veh.
Day 2 – Friday, July 2, 2004
Palm OS with GPS, running ITS-GPS: 5 veh.
Windows laptop PC’s, running CoPilot: 2 veh.
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Data Collected
Date, time, speed at 3 sec. intervals, latitude, longitude, distance and time between readings
Trajectories plotted on a time space diagram (x,t)
t
x
Spherical geometry used to calculatedistance between points
ODOT data for study days:
Date, time, site ID, link ID, # of matched plates, average travel time between sites
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Data Difficulties
GPS fixes lost – 3 sec re-establishment times
Error distribution:
Interpolated distance =
Distance between readings (25.4 / Total distance measured by GPS unit)
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ODOT Frontier Data – Sun. July 13
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ODOT Frontier Data – Fri. July 2
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Statistical Analysis
α = .05, 95% confidence interval
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Errors
Differences between times predicted with the Frontier system and the probe vehicles
Segment 1 Segment 2
Short segments revealed over-prediction by FrontierLong segments revealed under-prediction by Frontier
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Results and Conclusions Based on the data, the Frontier Travel Time system
located on Oregon-18 predicts travel times effectively.
Travel times are accurately predicted within 1 minute.
Travel times could be displayed upstream of corridor using VMS located at key junctions.
Additional tests would help to improve data. Data latency and hardware reliability were issues.
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Acknowledgements Robert Fynn, ODOT FHWA and the WTI at Montana State University Steve Albert and Patrick Wright, WTI Annette Clothier and Galen McGill, ODOT Tarek Abou El-Seoud “Probe” vehicle drivers Dr. Robert Bertini, PSU Dr. Chris Monsere, PSU Matt Lasky, PSU
www.its.pdx.edu