@article{ref1,
title="Human control of air traffic trajectory optimizer",
journal="IEEE transactions on intelligent transportation systems",
year="2018",
author="Turnbull, Oliver D. N. and Richards, Arthur G.",
volume="19",
number="4",
pages="1091-1099",
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.<p /> <p>Language: en</p>",
language="en",
issn="1524-9050",
doi="10.1109/TITS.2017.2712637",
url="http://dx.doi.org/10.1109/TITS.2017.2712637"
}