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EN
This paper will give an intro into the technical backbone of the EMSN and derive necessary specifications to allow for objective testing in large scale. Further, it will demonstrate the potential of EMSN as a maritime safety test-bed on the STM case. Therefore, the simulations executed within the EMSN are evaluated regarding their safety level in order to demonstrate the effects of various measures to improve safety. Based on a fuzzy logic approach, numerical Data from the EMSN Data-Tracker is used as an input to assess a present traffic situation from the perspective of a specific ship and outputs a comprehensive safety index developed by expert opinions. The safety index is used to further analyze navigators’ behavior and decisions in different maritime traffic scenarios that are executed within the EMSN.
2
Content available Operations of maritime autonomous surface ships
EN
Advancing technologies create unique opportunities for constructing autonomous ships, which, in turn, raise growing interest of the maritime industry, shipowners in particular. These authors have analyzed actions taken in this field and some aspects related to the operations of maritime autonomous surface ships (MASS). The presented case study refers to a ship with a skeleton crew on a deep sea voyage, where the ship’s autonomy is narrowed to the fourth stage of transport task – sea voyage and its navigational aspect.
EN
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.
PL
W artykule porównano wpływ czynnika ludzkiego na zarządzanie ruchem morskim i zarządzanie ruchem lotniczym. Przedstawiono systemy nadzorowania ruchu statków powietrznych i morskich ze wskazaniem głównych wspólnych problemów. W artykule opisano także najważniejsze elementy natury człowieka będące składowymi czynnika ludzkiego oraz ich wpływ na operacje lotnicze i morskie. Zaproponowano algorytm oceny wpływu czynnika ludzkiego w zarządzaniu ruchem, na bezpieczeństwo ruchu lotniczego, w obrębie lotniska niekontrolowanego.
EN
The paper presents the influence of human factor on sea traffic management and air traffic management. The traffic services for aircrafts and merchant vessels have been compared and main common issues have been indicated. The most important elements of human nature - components of human factor and their influence on air and maritime operations are described. The algorithm for the assessment of human factor in air traffic management and its influence on the safety of air traffic in the area of uncontrolled airfield has been proposed.
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