The problem of matching measured flight position points to air routes is definitely important to improve data processing tools that can assist air traffic controllers in analyzing operational situations and making control decisions. This paper proposes a simple map matching algorithm that uses a hidden Markov model (HMM) to find the most likely flight path according to the flight trajectory. The algorithm is tested on real data collected from air traffic control systems. In addition, the correct matching percentage of different sampling-rate data is tested. The HMM works efficiently on conditions where a data preprocessing method is utilized and matches with an error less than 1%.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Simple Aerial Map Matching Algorithm Based on Hidden Markov


    Beteiligte:
    Gu, Xin (Autor:in) / Xiang, Qiao-Jun (Autor:in) / Ma, Yong (Autor:in) / Hu, Ming-Hua (Autor:in)

    Kongress:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Erschienen in:

    CICTP 2017 ; 982-990


    Erscheinungsdatum :

    18.01.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Map-Matching Algorithm Based on Hidden Markov and Constraint Value Pruning

    Mei, Bai / Yujing, Niu / Chunye, Li et al. | Transportation Research Record | 2024



    An Online Map Matching Algorithm Based on Second-Order Hidden Markov Model

    Xiao Fu / Jiaxu Zhang / Yue Zhang | DOAJ | 2021

    Freier Zugriff

    Urban GPS road network matching method based on hidden Markov model

    SONG YUCHEN / ZHAO JUANJUAN / GAO XITONG et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    An Efficient Navigation Approach for Toll Plaza Using Map-Matching Algorithm with Hidden Markov Model

    Manikandan, R. / Silvia Priscila, S. / Latha, R. | Springer Verlag | 2022