12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis And 2012
DOI: 10.2514/6.2012-5417
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Autonomous Operations Planner: A Flexible Platform for Research in Flight-Deck Support for Airborne Self-Separation

Abstract: The Autonomous Operations Planner (AOP), developed by NASA, is a flexible and powerful prototype of a flight-deck automation system to support self-separation of aircraft. The AOP incorporates a variety of algorithms to detect and resolve conflicts between the trajectories of its own aircraft and traffic aircraft while meeting route constraints such as required times of arrival and avoiding airspace hazards such as convective weather and restricted airspace. This integrated suite of algorithms provides flight … Show more

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Cited by 24 publications
(16 citation statements)
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“…These applications came from existing and proposed FAA development programs, from the final report of the ADS-B IN Aviation Rulemaking Committee, 5 from NASA's research on advanced air traffic services, Air Traffic Management (ATM), and separation technology concepts, 6,7,8 and subsequent determination of "function allocation" alternatives which led to identification of logical combinations and extensions of these concepts. Each concept and application was vetted for its positive attributes -efficiency, flexibility, and return-on-investment, and its potential negative aspects of cost and difficulty in achieving implementation.…”
Section: Approachmentioning
confidence: 99%
“…These applications came from existing and proposed FAA development programs, from the final report of the ADS-B IN Aviation Rulemaking Committee, 5 from NASA's research on advanced air traffic services, Air Traffic Management (ATM), and separation technology concepts, 6,7,8 and subsequent determination of "function allocation" alternatives which led to identification of logical combinations and extensions of these concepts. Each concept and application was vetted for its positive attributes -efficiency, flexibility, and return-on-investment, and its potential negative aspects of cost and difficulty in achieving implementation.…”
Section: Approachmentioning
confidence: 99%
“…Its central architecture, algorithms, and performance are derived from NASA's Autonomous Operations Planner (AOP), an airborne trajectory management decision-support tool developed for research into advanced concepts of airborne operational autonomy and self-separation. 7 Whereas AOP's primary function is to detect ,18 and resolve 19 conflicts in a fuel-efficient manner, TAP Engine's main functionality is to continuously probe for candidate route changes (including altitude changes) that optimize fuel burn, flight time, or trip cost (combining trip fuel and time according to a given Cost Index) across the entire route while avoiding the creation of conflicts with traffic, weather, and SUA. Although TAP is an optimization tool and not a self-separation tool, it is embedded with the deep heritage of AOP's extensively tested self-separation and four-dimensional, airborne-trajectory-management capabilities.…”
Section: Tap Enginementioning
confidence: 99%
“…Extensively tested and refined for over a decade, AOP generates timely, conflict-free, routechange solutions enabling an aircraft to manage its trajectory autonomously in complex, high-density en-route airspace. 7 Additional components of TAP were specifically developed under the TASAR research initiative,…”
Section: Introductionmentioning
confidence: 99%
“…4,8 Developed for NASA by Engility Corporation, TAP was designed to run on a commercial-off-the-shelf Class 2 EFB platform. TAP's flight optimization and traffic conflict management algorithms were originally developed by Engility for advanced selfAmerican Institute of Aeronautics and Astronautics separation research, 7 and these high-performance algorithms have been extensively tested and matured for over a decade. TAP's "Auto Mode" periodically scans for time-and/or fuelsaving trajectory changes of three types: lateral-only, altitudeonly, and combination lateral/altitude changes.…”
Section: E Software Application Developmentmentioning
confidence: 99%