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Publication - Professor Arthur Richards

    Human Control of Air Traffic Trajectory Optimizer

    Citation

    Turnbull, ODN & Richards, AG, 2018, ‘Human Control of Air Traffic Trajectory Optimizer’. IEEE Transactions on Intelligent Transportation Systems, vol 19., pp. 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.

    Full details in the University publications repository