In this paper, a data-driven method for predicting the arrival time of en route aircraft is proposed. The proposed model predicts the arrival time of aircraft to a target waypoint based on the current state values of its longitude, latitude, speed, and heading. A combined method using regression analysis and Barycentric interpolation was applied in order to establish the model. As a case study, the proposed model was applied to the en-route trajectories passing over Incheon International Airport, and the prediction accuracy for different look-ahead times was studied.


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    Title :

    En-route arrival time prediction via locally weighted linear regression and interpolation


    Contributors:
    Chai, HongAh (author) / Lee, Keumjin (author)


    Publication date :

    2019-09-01


    Size :

    1285854 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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