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Field evaluation of descent advisor trajectory prediction accuracy

File Language:
English


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  • NTL Classification:
    NTL-AVIATION-AVIATION ; NTL-AVIATION-Air Traffic Control ; NTL-AVIATION-Aviation Safety/Airworthiness ; NTL-REFERENCES AND DIRECTORIES-Statistics
  • Abstract:
    The Descent Advisor (DA) automation tool has undergone a series of field tests

    at the Denver Air Route Traffic Control Center to study the feasibility of

    DA-based clearances and procedures. The latest evaluation, conducted in the

    fall of 1995, expanded the operational nature of DA testing to include a wider

    variety of test conditions. A total of 197 commercial flights from three

    airlines participated in the study over twenty-three days of testing. Aircraft

    included large and heavy jet transports, both conventional- and

    flight-management-system-equipped, and turboprop commuter types. The primary

    objective was to measure DA trajectory prediction accuracy for use in

    validating DA metering advisories and developing conflict-probe error models.

    Previous evaluations, involving large jet types only, demonstrated an arrival

    time prediction accuracy within 20 sec. The 1995 test results indicate a mean

    error of 0.5 sec late with a standard deviation of 14.3 sec. The least

    variation was found for flight-management-system-equipped jets with a standard

    deviation of 11.9 sec compared to 15.2 and 15.4 sec for conventional-equipped

    jets and turboprop types respectively. This paper describes the test and

    presents an analysis of the descent trajectory prediction accuracy in terms of

    errors in the horizontal profile, altitude profile, and arrival time. 13p.

    Copyright S 1996 by the American Institute of Aeronautics and Astronautics, Inc.

    The U.S.Government has a royalty-free license to exercise all rights under the

    copyright claimed herein for government purposes. All other rights are reserved

    by the copyright owner.

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    urn:sha256:567f116a0bb58d26f7efc9446bcdc780611d950c72fae4478ebc67bac174a593
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    Filetype[PDF - 170.64 KB ]
File Language:
English
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