Latest revision as of 18:00, 3 February 2021

Abstract

n operating concept and a laboratory analysis methodology were developed and tested to examine how four-dimensional trajectory analysis methods could support higher levels of automation for separation assurance in the National Airspace System. Real-time simulations were conducted in which a human controller generated conflict resolution trajectories using an automated trial planning resolution function, but only in response to conflicts detected and displayed by an automatic conflict detection function. Objective metrics were developed to compare aircraft separation characteristics and flying time efficiency under automated operations to that of today’s operations using common airspace and traffic scenarios. Simulations were based on recorded air traffic data from Fort Worth and Cleveland Centers and conducted using today’s and nearly two-times today’s traffic levels. Results suggest that a single controller using trajectory-based automation and data link communication of control clearances to aircraft could manage substantially more traffic than they do now with improved route efficiency while maintaining separation. The simulation and analysis capability provides a basis for further analysis of semi-automated, or fully automated, separation assurance concepts.

Original document

The different versions of the original document can be found in:

• http://pdfs.semanticscholar.org/d3d4/2f3feda6db63a1f518cc521d8442fc565c2f.pdf

• https://research.tue.nl/nl/publications/a-pathfollowing-preview-controller-for-autonomous-air-vehicles(46b16bf8-2e0f-4fa2-8120-454ee9132e53).html

• http://arc.aiaa.org/doi/pdf/10.2514/6.2006-6715,

http://dx.doi.org/10.2514/6.2006-6715

• https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F46b16bf8-2e0f-4fa2-8120-454ee9132e53,

https://arc.aiaa.org/doi/pdf/10.2514/6.2006-6715,

https://academic.microsoft.com/#/detail/2097305169

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