The development of advanced ship positioning and intelligent sensing technologies has transformed navigation at sea, moving beyond reliance on captains’ experience and standard routes. The trajectories traversed by ships at sea contain valuable data that can be mined to map maritime transportation networks and inform intelligent navigation systems. Ship trajectory data at scale enables discovery of the underlying network of maritime routes, providing key insights for applications like intelligent navigation, abnormal behavior detection, trajectory prediction, and maritime traffic pattern analysis. This study reviews the development of research on maritime route networks (MRNs) derived from ship trajectory data. It summarizes the technical process to construct a MRN, contrasting approaches for identifying waypoints, extracting routes, and representing the overall maritime traffic network structure. Finally, this study explores potential applications of MRNs and anticipates promising future research directions in this domain.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Generation and Application of Maritime Route Networks: Overview and Future Research Directions


    Beteiligte:
    Huang, Liang (Autor:in) / Wan, Chengpeng (Autor:in) / Wen, Yuanqiao (Autor:in) / Song, Rongxin (Autor:in) / van Gelder, Pieter (Autor:in)


    Erscheinungsdatum :

    01.01.2025


    Format / Umfang :

    2580931 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Overview and Future Directions

    Wang, Yihui / Ning, Bin / Boom, Ton et al. | Springer Verlag | 2016


    Pacific Islands Regional Maritime Boundaries Project: Future directions

    Artack, E. / Institute of Marine Engineering, Science and Technology | British Library Conference Proceedings | 2006



    Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions

    Meng, Q. / Wang, S. / Andersson, H. et al. | British Library Online Contents | 2014