Due to the variety of flight patterns in airport terminal airspace, as well as the high global similarity of different flight patterns entering and leaving from the same runway or corridor, it is difficult for current mainstream methods to achieve good clustering. To this end, this paper first constructs a truncated dynamic time warping (TDTW) trajectory similarity measurement to characterize different trajectory patterns with high global similarity and large local differences. Furthermore, a hierarchical flight pattern mining method is proposed, which is divided into four layers according to different characteristics. The first three layers of the method classify trajectories according to takeoff and landing types, runways, and corridors; whereas the fourth layer uses a K -medoid clustering method based on TDTW, thereby making the mining process more controllable and in line with actual operation. Compared to dynamic time warping, the experimental results show that the intraclass compactness and interclass separation of the cluster obtained by the proposed method have decreased and increased by 44.6 and 20.1%, respectively, and the overall performance has improved by 54.1%. More refined and reasonable flight patterns have been obtained.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Hierarchical Method for Mining a Prevailing Flight Pattern in Airport Terminal Airspace


    Contributors:
    Chu, Xiao (author) / Zeng, Weili (author) / Tan, Xianghua (author) / Zhou, Yadong (author) / Zhu, Dan (author)

    Published in:

    Publication date :

    2023-07-04


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Integrated management for airport terminal airspace

    DONOVAN TIMOTHY P | European Patent Office | 2019

    Free access

    INTEGRATED MANAGEMENT FOR AIRPORT TERMINAL AIRSPACE

    DONOVAN TIMOTHY P | European Patent Office | 2017

    Free access

    An Evaluation of Airport Traffic Airspace Use by Terminal Airspace Class

    Underhill, Ngaire / Weinert, Andrew | IEEE | 2019


    Modeling Flight Delay Propagation in Airport and Airspace Network

    Wu, Qinggang / Hu, Minghua / Ma, Xiaozhen et al. | IEEE | 2018


    Off-Airport AWOS to Enhance Flight Safety and Increase Airport and Airspace Capacity

    Garbell, M. A. / Air Traffic Control Association | British Library Conference Proceedings | 1989