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ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

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Tomasz Neumann
 

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TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
Quantitative Processing of Situation Awareness for Autonomous Ships Navigation
1 Dalian Maritime University, Liaoning Province, Dalian, China
2 National University of Singapore, Singapore
ABSTRACT: The first ever attempt at fully autonomous dock-to-dock operation has been tested and demonstrated successfully at the end of 2018. The revolutionary shift is feared to have a negative impact on the safety of navigation and the getting of real-time situation awareness. Especially, the centralized context onboard could be changed to a distributed context. In navigation safety domain, monitoring, control, assessment of dangerous situations, support of operators of decision-making support system should be implemented in real time. In the context of autonomous ships, decision-making processes will play an important role under such ocean autonomy, therefore the same technologies should consist of adequate system intelligence. At the same time, situation awareness is the key element of the decision-making processes. Although there is substantial research on situation awareness measurement techniques, they are not suitable to directly execute quantitative processing for the situation awareness of autonomous ships navigation. Hence, a novel quantitative model of situation awareness is firstly proposed based on the system safety control structure of remotely controlled vessel. The data source is greatly limited, but the main result still indicates that the probability of operator lose adequate situation awareness of the autonomous ship is significantly higher than the conventional ship. Finally, the paper provides a probabilistic theory and model for high-level abstractions of situation awareness to guide future evaluation of the navigation safety of autonomous ships.
REFERENCES
R. Schönknecht, Ships and shipping of tomorrow: Cornell Maritime Pr/Tidewater Pub, 1983.
J. Barwise, The Situation in Logic: Conditionals and conditional information vol. 2: Center for the Study of Language and Information, Stanford University, 1984.
J. Barwise, J. M. Gawron, G. Plotkin, and S. Tutiya, Situation theory and its applications vol. 26: Center for the Study of Language (CSLI), 1990.
International Maritime Organization (IMO). The IMO regulatory framework and its application to Marine Autonomous Systems. London: MSC 95/INF.20, 2015.
Citation note:
Zhou X.Y., Liu Z.J., Wu Z.L., Wang F.W.: Quantitative Processing of Situation Awareness for Autonomous Ships Navigation. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 1, doi:10.12716/1001.13.01.01, pp. 25-31, 2019

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