The Feasibility of Using Simulated Satellite Data Coordinated with Traffic Ground Counts
Ohio State University, Department of Civil and Environmental Engineering and Geodetic Science, Center for Mapping, 1996 - Artificial satellites in remote sensing - 77 pages
This document describes a study which developed and tested methodological components needed to compare satellite data with ground counts. The study was designed for three sites in Columbus, Ohio. Ground count data collection was coordinated to an aerial photography mission. The aircraft data were processed to simulate 1-m resolution satellite data. Specific objectives of the research included: 1) process aerial photographs; 2) use the imagery to count and classify vehicles on highway segments; 3) determine traffic measures from the imagery and ground-based data; and, 4) compare the aerial-based and ground-based traffic measures.
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Acquisition of Data for the Field Experiment
Comparisons of Air and Groundbased Trafﬁc Measures
Imagery Perfonnance and Evaluation
aerial photographs ATR data auen auerl Automatic Traffic Recorder Axle bytes calculated Car Flow Q classiﬁcation classify vehicles commission errors count and classify data collection data sets Density K veh/mi Determined from Automatic Equiv Pass Car Equiv Passenger Car ERDAS Imagine errors of omission estimated FHWA ﬁltering ﬁrst geographic information system gray tone value ground counts highway segment histogram hr:min:sec image processing Imagine software implied 1 decimal Initial Clock Interval dt mins Lane Level of Service northbound number of vehicles omission and commission Orbital Sciences Corporation original image Pass Car Density passed the ATR passenger car equivalent Passenger Car Flow pavement pcphpl photo APy pixel satellite data satellite imagery Section space mean speed Speed Us mi/hr subtraction Total Volume V"[veh trafﬁc data Traffic Measures Determined VBL data vehicle counts velocities video clock video data Volume of Cars Volume of Trucks Weight Left Weight Right WIM data