The MONALISA 2.0 (ML 2.0) project aims to define the Sea Traffic Management concept (STM), where information is shared amongst all stakeholders in the maritime transport chain, including nautical officers, ports, administrations, etc. Thus, a communication and information centered approach for data exchange by System Wide Information Management principles changing from surface-based- to voyage-based-operations has been proposed. Amongst others, testing and verifying the feasibility and benefits of STM and its solutions shall be done in the European Maritime Simulator Network (EMSN), a macro simulation environment for ship handling simulators. This is an open IEEE 1278 standard network protocol enabling interactive communication between distributed simulation environments. Based on an introduction into ML 2.0, the proposed STM concept is introduced, its expected impacts are listed and Key Performance Objectives are derived. The backgrounds on the EMSN are given and it is shown how it can assist in assessing the impact of STM’s Key Performance Indicators.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    The Role of the European Maritime Simulator Network in Assessing Dynamic Sea Traffic Management Principles


    Beteiligte:


    Erscheinungsdatum :

    2015




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    The role of the European maritime simulator network in assessing dynamic sea traffic management principles

    Rizvanolli, Anisa / Burmeister, Hans-Christoph / John, Ole | Fraunhofer Publica | 2015

    Freier Zugriff

    Assessing Safety Effects of Digitization with the European Maritime Simulator Network EMSN: The Sea Traffic Management Case

    Hans-Christoph Burmeister / Tina Scheidweiler / Maximilian Reimann et al. | DOAJ | 2020

    Freier Zugriff

    Assessing safety effects of digitization with the European Maritime Simulator Network EMSN: The sea traffic management case

    Burmeister, Hans-Christoph / Scheidweiler, Tina / Reimann, Maximilian et al. | Fraunhofer Publica | 2020

    Freier Zugriff

    SHIP-GAN: GENERATIVE MODELING BASED MARITIME TRAFFIC SIMULATOR

    Basrur, Chaithanya / Singh, Arambam James / Sinha, Arunesh et al. | British Library Conference Proceedings | 2021