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Open AccessJournal ArticleDOI

Autonomous Unmanned Merchant Vessel and its Contribution towards the e-Navigation Implementation: The MUNIN Perspective

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TLDR
This paper will demonstrate with two examples, how MUNIN's results address identified e- Navigation's gaps and addresses e-Navigation's user needs.
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This article is published in International Journal of e-Navigation and Maritime Economy.The article was published on 2014-12-01 and is currently open access. It has received 130 citations till now. The article focuses on the topics: e-Navigation.

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Citations
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Journal ArticleDOI

Towards the assessment of potential impact of unmanned vessels on maritime transportation safety

TL;DR: The main line of argument supporting their introduction pertains to the increase in navigational safety, which is expected to be achieved by reducing the frequency of human-related accidents on board ships, by removing the crews.
Journal ArticleDOI

Analyzing the economic benefit of unmanned autonomous ships: An exploratory cost-comparison between an autonomous and a conventional bulk carrier

TL;DR: In this article, the authors analyzed the costs of running an autonomous bulker and compared them with a conventional vessel in a cost-benefit analysis, and provided insights on the (economic) benefit of autonomous vessels for a first time.
Journal ArticleDOI

Traffic Pattern Mining and Forecasting Technologies in Maritime Traffic Service Networks: A Comprehensive Survey

TL;DR: The development of maritime traffic research in pattern mining and traffic forecasting affirms the importance of advanced maritime traffic studies and the great potential in maritime traffic safety and intelligence enhancement to accommodate the implementation of the Internet of Things, artificial intelligence technologies, and knowledge engineering and big data computing solution.
Journal ArticleDOI

A framework to identify factors influencing navigational risk for Maritime Autonomous Surface Ships

TL;DR: A framework for the identification of factors that influence the navigational risk of remotely controlled MASS without crews on board is proposed and may assist the processes of design and operational planning of maritime transportation systems accommodating MASS and its remote-control center, e.g., the shore control center.
Journal ArticleDOI

Towards the development of a system-theoretic model for safety assessment of autonomous merchant vessels

TL;DR: A System-Theoretic Process Analysis is applied to develop a model suitable for safety analysis and design recommendations’ elaboration for future autonomous vessels and results indicate that the system-theoretic safety analysis’ outcome can be affected by manageable uncertainties despite the fact the system in question is yet to be implemented.
References
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Proceedings ArticleDOI

Situation awareness in remote control centres for unmanned ships

TL;DR: In this article, the feasibility of unmanned, autonomous merchant vessels is investigated by the EU project MUNIN (Maritime Unmanned Navigation through Intelligence in Networks), where ships will be manned during passage to and from port and unmanned during ocean-passage.
Proceedings ArticleDOI

Communication architecture for an unmanned merchant ship

TL;DR: Communication between ship and a shore control center (SCC) is therefore critical for the unmanned ship and proper safety and security precautions are required, including sufficient redundancy and backup solutions.

Can unmanned ships improve navigational safety

TL;DR: In this article, the authors proposed a ship that can primarily be guided by automated on-board decision-making systems but can also be controlled by a remote operator from a Shore Control Centre.
Journal ArticleDOI

Human Factors in Maritime Applications: A New Opportunity for Multi-Modal Transportation Research

TL;DR: In this paper, the authors present a model of five technical domains that comprise a useful framework for conceptualizing human factors in the maritime industries and discuss the multi-modal research potential in the areas of fatigue and cognitive impacts of automation.
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