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Human-automation cooperation for separation assurance in future NextGen environments
Author(s) -
Joey Mercer,
Jeffrey Homola,
Christopher Cabrall,
Lynne Martin,
Susan Morey,
Ashley Gomez,
Thomas Prévôt
Publication year - 2014
Publication title -
nasa sti repository (national aeronautics and space administration)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/2669592.2669644
Subject(s) - air traffic control , automation , separation (statistics) , national airspace system , controller (irrigation) , engineering , function (biology) , control (management) , computer science , aeronautics , systems engineering , transport engineering , simulation , aerospace engineering , machine learning , artificial intelligence , mechanical engineering , biology , evolutionary biology , agronomy
A 2012 Human-In-The-Loop air traffic control simulation investigated a gradual paradigm-shift in the allocation of functions between operators and automation. Air traffic controllers staffed five adjacent high-altitude en route sectors and, during the course of a two-week experiment, worked traffic under different function-allocation approaches aligned with four increasingly mature NextGen operational environments. These NextGen 'time-frames' ranged from near current-day operations to nearly fully-automated control in which the ground system's automation was responsible for detecting conflicts, issuing strategic and tactical resolutions, and alerting the controller to exceptional circumstances. Results indicate that overall performance was best in the most automated NextGen environment. Safe operations were achieved in this environment for twice today's peak airspace capacity, while being rated by the controllers as highly acceptable. However, results show that sector operations were not always safe; separation violations did in fact occur. This paper will describe in detail the simulation conducted, as well discuss important results and their implications.

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