Semi-Markov model of MASS voyage

• Autorzy: Abramowicz-Gerigk Teresa , Burciu Zbigniew , Soszynska-Budny Joanna , Weintrit Adam

Identyfikatory

DOI

10.12716/1001.18.04.21

• Języki publikacji: EN

Abstrakty

EN

The paper presents the readiness/safety model for the sea voyage of Maritime Autonomous Surface Ship (MASS), based on Semi-Markov process. The states of MASS during the voyage were defined as triplets of intentional type of MASS operations, reliability state and safety state, dependent on weather conditions. The determined states were aggregated, and the disjoint subsets were used to build a macro-model of MASS voyage process. An example of changes of MASS states during the sea voyage, for Gdynia - Port Everglades connection, is presented and discussed in the paper. The Semi-Markov process was used for the analysis of MASS reliability and safety during the sea voyage. The obtained matrix of transition probabilities between the states of MASS during the voyage can be used by MASS operator in Remote Operations Centre to make decisions related to voyage planning. The proposed model can constitute the basis of a computer program supporting the decision-making process of the operator.

Słowa kluczowe

EN

semi-Markov process; port operations; Safety Management System; SMS; Maritime Autonomous Surface Ships; MASS; navigation systems; reliability analysis; simulation methods; weather conditions

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2024
• Tom: Vol. 18 No. 4
• Strony: 937--941
• Opis fizyczny: Bibliogr. 10 poz. rys., tab.

Twórcy

autor

Abramowicz-Gerigk Teresa

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0002-0477-3161

autor

Burciu Zbigniew

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0001-5171-1943

autor

Soszynska-Budny Joanna

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0003-1525-9392

autor

Weintrit Adam

• Gdynia Maritime University, Gdynia, Poland

• https://orcid.org/0000-0002-3233-0966

Bibliografia

• [1] 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).
• [2] Burciu Z. Reliability of rescue action. Warsaw University of Technology Printing House. Warsaw 2012.
• [3] Burciu, Z., Abramowicz-Gerigk, T. Autonomous shipping – a stochastic model of the process describing the safety of MASS operation. Scientific Journals of the Maritime University of Szczecin, 2023, 76 (148), 57–64, doi: 10.17402/586.
• [4] 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).
• [5] Grabski F. Semi-Markov models of reliability and operation. Polish Academy of Sciences, Institute of System Research, Warsaw 2002.
• [6] Grabski, F., Jaźwiński, J. Functions with random arguments in reliability issues, security and logistics, Publishing House of Communications and Connections, Warsaw 2009.
• [7] Guze, S., & Smolarek, L. (2011). Semi-Markov approach to the shipping safety modeling. Archives of Transport, 23(4), 475-488. https://doi.org/10.2478/v10174-011-0032-7
• [8] Weintrit, A. Time to Revise the IMO’s Guidance on Good Practice for the Use of Electronic Chart Display and Information System (ECDIS). TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 16, No. 3, pp. 523-531, 2022 (doi:10.12716/1001.16.03.15).
• [9] 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).
• [10] Wright, R.G., Unmanned and Autonomous Ships. An Overview of MASS. Routledge, Taylor and Francis Group, New York 2020.

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).