Human Control of Air Traffic Trajectory Optimizer

O. D. N. Turnbull; A. G. Richards

doi:10.1109/TITS.2017.2712637

Human Control of Air Traffic Trajectory Optimizer

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

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

2 Citations (Scopus)

371 Downloads (Pure)

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.

Original language	English
Pages (from-to)	1091-1099
Number of pages	9
Journal	IEEE Transactions on Intelligent Transportation Systems
Volume	19
Issue number	4
Early online date	29 Jun 2017
DOIs	https://doi.org/10.1109/TITS.2017.2712637
Publication status	Published - 1 Apr 2018

Keywords

Air traffic control
human factors
trajectory optimization

Access to Document

10.1109/TITS.2017.2712637

Full-text PDF (accepted author manuscript)
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

Cite this

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Human Control of Air Traffic Trajectory Optimizer

Abstract

Keywords

Access to Document

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Inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

SUPEROPT: Supervision of Route Optimizers

Professor Arthur G Richards

Cite this

Human Control of Air Traffic Trajectory Optimizer

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Research output

Inter-sample avoidance in trajectory optimizers using mixed-integer linear programming

Projects

SUPEROPT: Supervision of Route Optimizers

Profiles

Professor Arthur G Richards

Cite this