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Situational awareness in autonomous shipping – ship domain in remote MASS operation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The introduction of Maritime Autonomous Surface Ships (MASS) in maritime transport creates new challenges that did not previously exist in the case of manned ships, and changes the approach to voyage planning, implementation and monitoring. MASS is not only supposed to be more economical, but also contributes to transport safety and environmental protection, while limiting the impact of the human factor. Taking into account the assumptions of the International Maritime Organization, the implementation of a MASS voyage, supervised by the operator of the Remote Operations Centre (ROC) will require a high level of situational awareness. The paper discusses the determination of the MASS safe navigation domain by ROC operator making decisions under risk conditions. It is expected, that according to Kahneman and Tversky's prospect theory, the enlargement of MASS domains may result in an increase in human-induced navigation hazards, especially in restricted areas.
Twórcy
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
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  • [2] Aylward K., Weber R., Lundh M., MacKinnon S. N., Dahlman J. Navigators’ views of a collision avoidance decision support system for maritime navigation. The Journal of Navigation 75: 5, 1035–1048, 2022. (doi.org/10.1017/S0373463322000510).
  • [3] Baldauf, M., Rostek, D. Identify training requirements for remote control operators of maritime autonomous ships. Proceedings of 18th International Technology, Education and Development Conference 2024. (doi:10.21125/inted.2024.2036).
  • [4] Burciu Z. Reliability of rescue action. Warsaw University of Technology Printing House. Warsaw 2012.
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  • [6] Endsley M. R., Selcon S. J. Designing to Aid Decisions Through Situation Awareness Enhancement. 2nd Symposium on Situation Awareness in Tactical Aircraft Patuxent River, MD, 1997 (available online: https://www.researchgate. net/publication/210198488_Design_and_Evaluation_for_Situation_Awareness_Enhancement,04.07.2024).
  • [7] Gerigk, M. Interference between Land and Sea Logistics Systems. Multifunctional Building System Design Towards Autonomous Integrated Transport Infrastructure. TransNav The International Journal on Marine Navigation and Safety of Sea Transportation, 16, 439-446, 2022. (https://doi. org/ 10.12716/1001.16.03.04).
  • [8] Goodwin E. M. A Statistical Study of Ship Domains The Journal of Navigation , Vol. 28, 3 , pp. 328 – 344, 1975. (doi: https://doi.org/10.1017/S03734633000412 30).
  • [9] Hansen, M. G., Jensen, T. K., Lehn-Schiøler, T. , Melchild, K., Rasmussen, F. M. and Ennemark F. Empirical Ship Domain based on AIS data. Journal of Navigation 66.6, pp. 931–940, 2013 (doi::10.1017/s0373463313000489).
  • [10] Kahneman D., Tversky A., Prospect theory: An Analysis of Decision under Risk. Econometria, 47(2), pp. 263-291. March 1979 (available online https://www.jstor.org/stable/1914185 on 04.07.2024).
  • [11] Muller-Plath G., Lehleitner J., Maier J., Silva-Löbling J., Zhang H., Zhang X., Zhou S. How Does Maritime Situation Awareness Depend on Navigation Automation and Mental Workload? A Sea Simulator Experiment. TransNav The International Journal on Marine Navigation and Safety of Sea Transportation,Vol. 17, No 4, 2023. DOI: 10.12716/1001.17.04.23).
  • [12] Ozturk U. Data-driven Ship Domain for Open Water Navigation. Journal of ETA Maritime Science 10(1), pp. 39-46, 2022.
  • [13] Pietrzykowski Z, Magaj J. Analysis of ship domains in traffic separation schemes. Scientific Journals of the Maritime University of Szczecin, 48 (120), pp. 88–95, 2016 (doi: 10.17402/181).
  • [14] Porathe T. Prison J., Man Y. Situation awareness in remote control centres for unmanned ships. Proceedings of the Conference: Human Factors in Ship Design & Operation. London, UK, 2014, (doi:10.3940/rina.hf.2014.12).
  • [15] Testing of RBAT on specific cases of MASS concepts. DNV – Report No. 2022-0481, 2022 (available online: www.dnv.com, 04.07.2024).
  • [16] Thombre S. , Zhao Z., Ramm-Schmidt H., García J. M. V., Malkamäki T., Nikolskiy S., Hammarberg T., Nuortie H., Zahidul M., Bhuiyan H., Särkkä S., Lehtola V. V. Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review IEEE Transactions on intelligent transportation systems, Vol. 23, 1, 2022.
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  • [18] Weintrit A. Revision of the IMO’s Performance Standards for ECDIS. Three Versions of Performance Standards in Use. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 16, 4, pp. 675-683, 2022 (doi: 10.12716/1001.16.04.09).
  • [19] Wrobel K. A Tale of Two Disruptive Maritime Technologies: Nuclear Propulsion and Autonomy. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 16, 4, pp. 733-741, 2022 (doi: 10.12716/1001.16.04.15).
  • [20] https://www.imo.org/en/MediaCentre/HotTopics/Pages/Autonomous-shipping.aspx (available online, 04.07.2024).
  • [21] https://seaperformer.com/ (available online,04.07. 2024).
  • [22] https://www.sofarocean.com/ (available online 04.07.2024).
Uwagi
1. Pełne imiona podano na stronie internetowej czasopisma w "Authors in other databases."
2. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ba5ff838-0c6a-41ba-b25f-eeac050e9314
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