Citation

Turnbull ODN, Richards AG. IEEE Trans. Intel. Transp. Syst. 2018; 19(4): 1091-1099.

Copyright

(Copyright © 2018, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/TITS.2017.2712637

PMID

unavailable

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.

Language: en

Keywords

Acceleration; air traffic; Air traffic control; air traffic trajectory optimizer; aircraft; Aircraft; Atmospheric modeling; automated optimizer; Automation; Computational modeling; discrete event systems; human control; human controller; human factors; integer programming; intuitive influence; linear programming; Optimization; supervisory constraints; Trajectory; trajectory optimisation (aerospace); trajectory optimization