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.
Human Control of Air Traffic Trajectory Optimizer
IEEE Transactions on Intelligent Transportation Systems ; 19 , 4 ; 1091-1099
01.04.2018
1715796 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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