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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
Issue number4
Early online date29 Jun 2017
DateAccepted/In press - 29 Jun 2017
DateE-pub ahead of print - 29 Jun 2017
DatePublished (current) - 1 Apr 2018


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

    Accepted author manuscript, 596 KB, PDF document


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