This disclosure provides a data-driven approach to departure detection. In particular, the disclosed approach uses location data, such as GPS, which is readily available for many vessels globally and historically through the automatic identification system (AIS). The approach clusters this data and then constructs a convex hull around these clusters for each port to define a port area. A vessel is then determined as departed when it leaves that port area. Clustering is computationally efficient as a number of optimised algorithms exist, which means even a very large dataset like historical locations of thousands of vessels can be processed relatively quickly. Further, the departure detection enables accurate estimation of arrival times. Further, actions can be triggered by the departure determination, such as automatic control of cranes, trucks, trains and other port equipment. E:: 507 502 503 511 512 513 Fig. 5 601 receive geographical location data 602 cluster the geographical locations 603 determine a port area 604 determine tracking data Fig. 6


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    Titel :

    Vessel tracking


    Beteiligte:
    BALAJAN JAMES (Autor:in) / SHAFRON THOMAS (Autor:in) / DÄULLARY TOBIAS (Autor:in)

    Erscheinungsdatum :

    2022-08-18


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS / G01S RADIO DIRECTION-FINDING , Funkpeilung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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