Collision Avoidance Domain-Method Used by Ships and aShore - Project - Bridge of Knowledge

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Collision Avoidance Domain-Method Used by Ships and aShore

Numerous safety criteria for evaluating the safety of ship-ship encounters exist. However the majority of those are subjective, and do neither account for the dynamics of ships in a seaway nor the geometry of the encounter. CADMUSS attempts to fill this gap by developing a concept of collision avoidance dynamic domain method suitable for ship-based and shore-based use accounting for the ship dynamics in ship-to-ship encounters. Additionally the concept will be turned into a mathematical model determining the safety domain for a safety-critical ship type such as RoRo-passenger ships. The model will be further implemented into collision avoidance system. To develop the concept and model various methods are used. Expert knowledge is elicited in the course of peer-to-peer interviews and questionnaires among senior officers participating in training courses the will be hosted by the maritime universities involved in the project. The encounter simulator is developed and a 6 degree of freedom ship motion model is employed along with the computational fluid dynamics tool. The dynamic domain is implemented into the collision avoidance algorithms and tools that are already used onboard ships across the world. Fourthly, the scientific grounds for the transfer of the developed domain to the field of strategic risk assessment are provided. The potential beneficiaries of the projects are ship owners and operators, vessel traffic services, maritime authorities at national and international levels and maritime training centers. The objective of the project is three-fold. Firstly, to develop safety criteria for safe passage in ship-ship encounters in high seas and coastal areas. Secondly, to implement the criteria within Decision Support Tools (DSTs) for onboard and onshore use respectively. Hence, the process of collision avoidance is supported from the perspective of the ship as well as shore-based centers, such as Vessel Traffic Services (VTS) and Fleet Operation Centres (FOC). Thirdly, to provide solid grounds for transferability of the concept into strategic risk assessment field, so the safety criterion can be used to evaluate the level of accidental risk for a given sea area as well as for post-process risk profiling of individual vessels and voyages.

Details

Project's acronym:
CADMUSS
Financial Program Name:
ERA-NET COFUND
Organization:
Narodowe Centrum Badań i Rozwoju (NCBR) (The National Centre for Research and Development)
Agreement:
MARTERA-2/CADMUSS/2/2021 z dnia 2021-03-29
Realisation period:
2020-09-01 - 2023-08-31
Research team leader:
dr hab. inż. Rafał Szłapczyński
Team members:
Realised in:
Faculty of Ocean Engineering and Ship Technology
External institutions
participating in project:
  • JAKOTA Cruise Systems GmbH (Germany)
  • Wismar University of Applied Science (Germany)
  • NavSim Polska spółka z o.o. (Poland)
  • Innovative Navigation (Germany)
  • Nautitec GmbH & Co. KG (Germany)
  • Uniwersytet Morski w Gdyni (Poland)
Project's value:
1 141 640.45 PLN
Request type:
International Research Programmes
Domestic:
International project
Verified by:
Gdańsk University of Technology

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Year 2022

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    Publication

    Maritime autonomous surface ships (MASS) may operate in three predefined operational modes (OM): manual, remote, or autonomous control. Determining the appropriate OM for MASS is important for operators and competent authorities that monitor and regulate maritime traffic in given areas. However, a science-based approach to this respect is currently unavailable. To assist the selection of the proper OM, this study presents a risk-based...

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  • The impact of shipping 4.0 on controlling shipping accidents: A systematic literature review
    Publication
    • A. Sepehri
    • H. R. Vandchali
    • A. W. Siddiqui
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    - OCEAN ENGINEERING - Year 2022

    Maritime shipping, with a significant role in global trade, confronts various accidents leading to loss of lives, properties, and the environment. Shipping 4.0 technologies are scaling up to address this problem by employing real-time data-driven technologies, including cyber-physical systems, advanced tracking and tracing, intelligent systems, and big data analytics. Despite growing attention, there is a general lack of clarity...

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