The improvement in Maritime Situational Awareness (MSA), or the capability of understanding events, circumstances and activities within and impacting the maritime environment, is nowadays of paramount importance for safety and security. Enhancing coverage of existing technologies such as Automatic Identification System (AIS) provides the possibility to integrate and enrich services and information already available in the maritime domain. In this scenario, the prediction of vessels position is essential to increase the MSA and build the Maritime Situational Picture (MSP), namely the map of the ships located in a certain Area Of Interest (AOI) at a desired time. The integration of de-facto maritime traffic routes information in the vessel prediction process has the appealing potential to provide a more accurate picture of what is happening at sea by exploiting the knowledge of historical vessel positioning data. In this paper, we propose a Bayesian vessel prediction algorithm based on a Particle Filter (PF). The system, aided by the knowledge of traffic routes, aims to enhance the quality of the vessel position prediction. Experimental results are presented, evaluating the algorithm in the specific area between the Gibraltar passage and the Dover Strait using real AIS data.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Knowledge-based vessel position prediction using historical AIS data


    Beteiligte:


    Erscheinungsdatum :

    01.10.2015


    Format / Umfang :

    322176 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Estimated Time of Arrival Using Historical Vessel Tracking Data

    Alessandrini, Alfredo / Mazzarella, Fabio / Vespe, Michele | IEEE | 2019

    Freier Zugriff

    Vessel position simulation system

    DOMINIC PEARCE / JAN GROTHUSEN | Europäisches Patentamt | 2018

    Freier Zugriff


    POSITION SPECIFYING SYSTEM, VESSEL AND TRAILER FOR VESSEL

    INOUE HIROSHI | Europäisches Patentamt | 2023

    Freier Zugriff