TY  - JOUR
PY  - 2018//
TI  - Human control of air traffic trajectory optimizer
JO  - IEEE transactions on intelligent transportation systems
A1  - Turnbull, Oliver D. N.
A1  - Richards, Arthur G.
SP  - 1091
EP  - 1099
VL  - 19
IS  - 4
N2  - 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>
LA  - en
SN  - 1524-9050
UR  - http://dx.doi.org/10.1109/TITS.2017.2712637
ID  - ref1
ER  -