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Effects of future space vehicle operations on a single day in the National Airspace System : a fast-time computer simulation.

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English


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  • Abstract:
    This document describes the objectives, methods, analyses, and results of a study used to quantify the effects of future space operations ; on the National Airspace System (NAS), and to demonstrate the possible benefits of one proposed strategy to minimize these impacts. ; The Federal Aviation Administration’s (FAA) Concept Analysis Branch used fast-time computer simulation to identify changes to ; flight delay, flight distance, fuel burn, and sector throughput caused by increased space vehicle (SV) operations forecasted for 2018 and ; 2025. Researchers then collaborated with Stanford University to run additional scenarios demonstrating the potential benefits of using ; dynamic airspace closures designed by the university’s Aerospace Design Lab. Results will be used to support the Space Vehicle ; Operations (SVO) program in defining the problem statement and requirements for procedural and automation changes in the Next ; Generation Air Transportation System (NextGen). ; Two sets of fast-time simulation scenarios were run to quantify changes in NAS efficiency and capacity metrics. The first set of ; scenarios simulated future traffic and SV operations using current air traffic control procedures, while the second set of scenarios ; simulated a proposed procedural change using Stanford’s 4D Compact Envelopes. Each set of simulated scenarios varied two factors: ; forecasted traffic year and level of SV operations. NAS traffic levels forecasted for 2018 and 2025 in the Terminal Area Forecast ; (TAF) were simulated to capture changes in NAS performance with increased amounts of traffic. Researchers from the FAA’s Concept ; Analysis Branch and Stanford University worked with the SVO program lead to define three levels of SV operations in 2018 and 2025 ; based on predictions made by the FAA’s Office of Commercial Space Transportation. SV operation levels of low, medium and high ; were simulated for each forecasted traffic year; this variability was included to account for the uncertainty of the commercial space ; industry’s future success and demand.
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    urn:sha256:337f2c6b236823169b38275e5c4f73a5e5a7d856b6c42ffc8ba8525e80c7ef8d
File Language:
English
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