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Model Based Aircraft Trajectory Prediction during Takeoff


I. Lymperopoulos, J. Lygeros, A. Lecchini Visintini

AIAA Guidance, Navigation and Control Conference and Exhibit, Keystone, Colorado

An algorithm for predicting the trajectory of aircraft during takeoff is developed. The algorithm uses a detailed model to produce various aircraft trajectories under different configurations. The method is using the radar measurements of the first part of the flight in order to acquire information about the missing parameters of the aircraft and the wind evolution during climbing. Those data serve as an indicator for choosing among candidate trajectories that attempt to predict the actual flight path. This effort is in the context of developing Decision Support Tools (DST), that help Air Traffic Controllers and can also serve in conflict detection and resolution schemes. Our simulation results indicate that the algorithm accomplishes to intensely decrease the uncertainty about the future position of the aircraft during the takeoff procedure.


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% Autogenerated BibTeX entry
@InProceedings { LymLyg:2006:IFA_2579,
    author={I. Lymperopoulos and J. Lygeros and A. Lecchini Visintini},
    title={{Model Based Aircraft Trajectory Prediction during Takeoff}},
    booktitle={AIAA Guidance, Navigation and Control Conference and
    address={Keystone, Colorado},
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