Human Control of Air Traffic Trajectory Optimizer

O. D. N. Turnbull, A. G. Richards*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
371 Downloads (Pure)


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.

Original languageEnglish
Pages (from-to)1091-1099
Number of pages9
JournalIEEE Transactions on Intelligent Transportation Systems
Issue number4
Early online date29 Jun 2017
Publication statusPublished - 1 Apr 2018


  • Air traffic control
  • human factors
  • trajectory optimization


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