We describe an ongoing research effort pertaining to the development of a surface traffic automation system that will help controllers to better coordinate surface traffic movements related to arrival and departure traffic. More specifically, we describe the concept for a taxi-planning support tool that aims to optimize the routing and scheduling of airport surface traffic in such a way as to deconflict the taxi plans while optimizing delay, total taxi-time, or some other airport efficiency metric. Certain input parameters related to resource demand, such as the expected landing times and the expected pushback times, are rather difficult to predict accurately. Due to uncertainty in the input data driving the taxi-planning process, the taxi-planning tool is designed such that it produces solutions that are robust to uncertainty. The taxi-planning concept presented herein, which is based on mixed-integer linear programming, is designed such that it is able to adapt to perturbations in these input conditions, as well as to account for failure in the actual execution of surface trajectories. The capabilities of the tool are illustrated in a simple hypothetical airport.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Optimal Airport Surface Traffic Planning Using Mixed-Integer Linear Programming


    Beteiligte:
    P. C. Roling (Autor:in) / H. G. Visser (Autor:in)


    Erscheinungsdatum :

    2008




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    AIAA-2003-6797 Optimal Airport Surface Traffic Planning Using Mixed Integer Linear Programming

    Visser, H. / Roling, P. / AIAA | British Library Conference Proceedings | 2003


    Mixed Integer Linear Programming in Planning

    Christina Erwin / J. Benton | NTRS


    Plume avoidance maneuver planning using mixed integer linear programming

    Schouwenaars, Tom / Richards, Arthur / Feron, Eric et al. | AIAA | 2001