Remote Sensing for Transportation Flow: Experiences from the U.S. NCRSTF

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Remote Sensing for Transportation Flow
Experiences from the U.S. NCRST-F

• Mark R. McCord
• The Ohio State University and NCRST-F, USA
• Workshop on Transportation Mobility
• Strategic Initiatives Using Remote Sensing and
  GIS
• Hyderabad, India
• 11-13 September 2003

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Ground-Based Traffic Observations
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Aerial ViewsSkycomp, Inc.
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Space-based Views IKONOS 1-m Panchromatic Image
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One Scene Coverage 20 km x 11 km
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Working Objective

• Identify, develop, and facilitate
• transportation flow applications
• that can be improved by merging
• the spatially extensive perspective
• of space- and air-based remotely sensed data
• with the temporally extensive perspective offered
  
• by ground-based traffic collection.

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PRODUCTS AND DEVELOPMENTS

• Operational/Implemented Products
• Transportation Application Developments

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Regional Congestion Surveyse.g. Skycomp, Inc.
Maricopa Association of Governments

• 48 photos per facility
• 20-min cycle
• 7-9 a.m., 4-6 p.m
• 4 days

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Air-based Level-of-Service Cookbook
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Toolbox development
Georeferenced images
Automatic image processing
Travel Speeds 63 mph
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ITS Evaluation
Seattle SR 522
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Image backdrops for real-time bus locations

• OSU Campus Area
• Bus System
• 30 buses
• 11 scheduled
• service routes

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Previous representation
NCRST-F Development
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PRODUCTS AND DEVELOPMENTS

• Operational/Implemented Products
• Transportation Application Developments

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Improved Estimation of Average Annual Daily
Traffic from Imagery
Ground- and Satellite- Based Annual Coverage90
segments sampled yearly
Ground-Based Annual Coverage35 segments sampled
yearly
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AADT from IKONOS 43,850 vehicles/day
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Simulation Based Study
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Decreased Errors and Ground-Based Infrastructure
and Sampling
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Automatic Processing
Original Image
Probability Image Map
Binary Image
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Additional Data Sources (Air Photos)
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Additional Data (LIDAR)
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Improved Dynamic OD Flows from Turning Movements
and Travel Times
Video Views
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Decreased Error
UAV for Data collection
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Unmanned Aerial Vehiclesfor Traffic Flow
Applications

• Emergency Response
• Incident Verification
• Emergency Vehicle Routing
• Accident Reconstruction
• Traffic Studies
• AADT
• Velocities
• Network Monitoring
• Turning Movements
• Parking Lot Utilization