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Human Control of Air Traffic Trajectory Optimizer

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1091-1099
Number of pages9
JournalIEEE Transactions on Intelligent Transportation Systems
Volume19
Issue number4
Early online date29 Jun 2017
DOIs
DateAccepted/In press - 29 Jun 2017
DateE-pub ahead of print - 29 Jun 2017
DatePublished (current) - 1 Apr 2018

Abstract

Supervisory constraints are developed for a trajectory optimizer for air traffic. By choosing to apply combinations of these constraints, a human controller can exercise intuitive influence over how conflicts between aircraft are resolved. This offers a compromise between the flexibility of an automated optimizer and the insight of a human controller. Requirements, such as the sense of resolution, - i.e., which aircraft goes first or over - are encoded as constraints on a mixed-integer linear program. Examples verify that the constraints work as expected and that the computation times required are reasonable.

    Research areas

  • Air traffic control, human factors, trajectory optimization

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7959599/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 596 KB, PDF-document

DOI

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