A two-stage multi-class classification method for recognizing airport types is developed. The method involves sequential binary clustering that optimizes the order in which classes are compared to improve the resulting classification metrics. Seven classifiers were used to achieve meaningful results. The method iteratively performs binary classification to determine the most effective sequence for distinguishing classes. Initially, a binary classification was performed to distinguish international airports from non-international airports. Subsequently, another binary classification was performed to distinguish regional airports from airfields. Numerical experiments were conducted and the F1 score was calculated to evaluate the performance. The minimum representative volume for the training dataset was determined and feature extraction was completed. The developed optimization method was verified and all metrics were cross-validated. The method was applied to recognize and classify international airports, regional airports, and airfields.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Structured Airport Typology: A Layered Approach to Classifying Airport Types


    Contributors:


    Publication date :

    2024-10-22


    Size :

    528292 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Airport typology for LCC policy changes: a European perspective

    Antonín Kazda / Marek Turiak / Karol Gőtz | DOAJ | 2020

    Free access

    Three types of airport drainage

    Engineering Index Backfile | 1942


    Three types of airport drainage

    Engineering Index Backfile | 1942