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Variables Influencing RNAV STAR AdherenceIn this study we investigated how variables in the aviation domain impact adherence levels of aircraft flying area navigation arrivals with optimized profile descents (RNAV OPDs) (RNAV STARs: aRea NAVigation Standard Terminal Arrival Routes). Variable categories were: weather, aircraft, procedure, and traffic. Non-adherence events analyzed were: miss above, miss below, skip before merge, and skip after merge. Miss below and miss above describe when a flight does not comply vertically with a procedure. Skips refer to a flight leaving a procedure, then returning. Findings of this work reveal that vertical events are most impacted by altitude restriction size, steepness of flight paths, and merging routes. Lateral events were impacted by merging flight conflicts, number of speed restrictions, and the flow rate of the arrival traffic. This study helps increase understanding of how the system is functioning and identifies where procedures are not flexible enough to handle the variability in normal operations.major airports, procedure design, and recommendations for future work.
Document ID
20180007548
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Stewart, Michael
(San Jose State Univ. CA, United States)
Matthews, Bryan
(SGT, Inc. Moffett Field, CA, United States)
Janakiraman, Vijay
(Universities Space Research Association (USRA) Moffett Field, CA, United States)
Avrekh, Ilya
(SGT, Inc. Moffett Field, CA, United States)
Date Acquired
November 7, 2018
Publication Date
September 23, 2018
Subject Category
Aircraft Communications And Navigation
Report/Patent Number
ARC-E-DAA-TN61456
Meeting Information
Meeting: AIAA/IEEE Digital Avionics Systems Conference (DASC)
Location: London
Country: United Kingdom
Start Date: September 23, 2018
End Date: September 27, 2018
Sponsors: American Inst. of Aeronautics and Astronautics, Institute of Electrical and Electronics Engineers
Funding Number(s)
WBS: WBS 330693.04.10.01.08
CONTRACT_GRANT: NNA14AA60C
CONTRACT_GRANT: NNX17AE07A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
RNAV OPD
machine learning
RADI
decision trees
adherence
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