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• W578171042 abstract "The objectives of this research were as follows: (1) estimate the performance capabilities of remote sensor technologies to determine vehicle types against a background of pavement types; (2) evaluate the feasibility of determining vehicle types from a simulated data set (digitized aircraft photography); (3) investigate the availability of and specify an ideal satellite sensor system to meet these requirements; and (4) analyze the spatial and temporal coverage that could be expected from various satellite orbit configurations. Section 1 of this report provides an introduction. Section 2 discusses current traffic data collection efforts, methodologies used to collect and monitor traffic data, the potential of remote sensing techniques, and deficiencies in current data collection and advantages for collecting spatially rich data. Section 3 describes a mathematical model developed to work with digital panchromatic imagery from a remote sensing instrument used to image vehicles against pavements. Section 4 describes the orbital coverage problem. Sections 5 and 6 address the commercial feasibility of such a satellite design and describe other potential remote sensing sensors. Section 7 addresses future efforts. Section 8 presents the conclusions of this study, which are briefly summarized as follows: It was determined that the resolutions required would not allow the use of geo-stationary or geosynchronous orbits, and that the resulting coverage would imply that satellite data would augment, rather than replace the traffic data collection task. It was determined that a 1-m resolution is necessary to count and classify vehicles (cars and trucks) with greater than a 90% accuracy. With a satellite design using an inclination angle of 130 deg for a swath width of 15 km to achieve a 1-m resolution, mathematical analysis showed that it is possible to cover approximately 1% of the highways in the United States per day. Systematic analysis showed that the primary limiting constraint to increasing coverage would be data transmission rate when acquiring data at 1-m resolution. Before satellite data could be used routinely to count and classify traffic data on an operational basis, the infrastructure required to process and use the satellite data must be considered. The Eyeglass (trademark) system, which will provide 1-m resolution satellite data, will be launched and operational in 1997. This provides an excellent opportunity to develop the infrastructure required to process and use the satellite data on an operational basis for traffic data collection parameters." @default.
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• W578171042 date "1995-04-01" @default.
• W578171042 modified "2023-09-24" @default.
• W578171042 title "THE FEASIBILITY OF TRAFFIC DATA COLLECTION USING SATELLITE IMAGERY" @default.
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