It is essential to forecast the ship’s next track with the ship’s historical track and real-time motion status information to ensure safe navigation. With the large-scale application of the Chinese satellite navigation system Beidou, the total management of ship trajectory is feasible, and its data sequence characteristics are more robust. This thesis proposes an ECA-BIGRU vessel track forecast model based on Beidou vessel sequence data using the BIGRU model and makes a preliminary track forecast. Then it uses the ECA attention mechanism to optimize BiGRU. The measurement results of 112 ships running continuously for 20 days show that this dissertation proposes higher real-time performance and more accurate ship trajectory prediction in this dissertation than the ordinary BiGRU and LSTM algorithms, and it has significant application value.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Ship Trajectory Prediction Model Based on ECA-BiGRU


    Beteiligte:
    Yang, Shenghui (Autor:in) / Chen, Siyuan (Autor:in) / Liu, Chenshen (Autor:in) / Li, Mengqian (Autor:in) / Wang, Mouye (Autor:in) / Wang, Jinlong (Autor:in)


    Erscheinungsdatum :

    03.03.2023


    Format / Umfang :

    1884527 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Aircraft trajectory prediction method based on Elasticic-BiGRU structure

    WANG LAN / CHEN ZEXUAN | Europäisches Patentamt | 2022

    Freier Zugriff

    BiGRU based online multi-modal driving maneuvers and trajectory prediction

    Zhi, Yongshuai / Bao, Zhipeng / Zhang, Sumin et al. | SAGE Publications | 2021


    Optimizing Maritime Vessel Trajectory Prediction Using Space-Based AIS Data and PSO-BiGRU

    Rahayu, Dicka Ariptian / Widyawan / Ardiyanto, Igi et al. | IEEE | 2024


    Short-Term Traffic Flow Prediction using DTW-BiGRU Model

    Zou, Hanyi / Liu, Heng / Zhou, Tianli et al. | IEEE | 2020


    Ship trajectory prediction model based on transformer

    Li, Na / Huang, Yaoliang / Jiang, Dapeng | SPIE | 2023