Maritime traffic service networks and information systems play a vital role in maritime traffic safety management. The data collected from the maritime traffic networks are essential for the perception of traffic dynamics and predictive traffic regulation. This paper is devoted to surveying the key processing components in maritime traffic networks. Specifically, the latest progress on maritime traffic data mining technologies for maritime traffic pattern extraction and the recent effort on vessels’ motion forecasting for better situation awareness are reviewed. Through the review, we highlight that the traffic pattern knowledge presents valued insights for wide-spectrum domain application purposes, and serves as a prerequisite for the knowledge based forecasting techniques that are growing in popularity. The development of maritime traffic research in pattern mining and traffic forecasting reviewed in this paper affirms the importance of advanced maritime traffic studies and the great potential in maritime traffic safety and intelligence enhancement to accommodate the implementation of the Internet of Things, artificial intelligence technologies, and knowledge engineering and big data computing solution.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey


    Beteiligte:
    Xiao, Zhe (Autor:in) / Fu, Xiuju (Autor:in) / Zhang, Liye (Autor:in) / Goh, Rick Siow Mong (Autor:in)


    Erscheinungsdatum :

    01.05.2020


    Format / Umfang :

    11332917 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Vessel Crowd Movement Pattern Mining for Maritime Traffic Management

    Wen Rong / Yan Wenjing | DOAJ | 2019

    Freier Zugriff

    Maritime Traffic Networks: From Historical Positioning Data to Unsupervised Maritime Traffic Monitoring

    Fernandez Arguedas, Virginia / Pallotta, Giuliana / Vespe, Michele | IEEE | 2018

    Freier Zugriff

    TRAFFIC FORECASTING SYSTEM, TRAFFIC FORECASTING DEVICE, AND TRAFFIC FORECASTING METHOD

    IWAE TOMOHIDE / OBA YOSHIKAZU / NARUSE KOSUKE et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank

    Liu, Zhanyu / Zheng, Guanjie / Yu, Yanwei | ArXiv | 2023

    Freier Zugriff

    A comprehensive assessment system for the maritime traffic environment

    Nakamura, S. / Hara, K. | British Library Conference Proceedings | 1993