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This paper will give an intro into the technical backbone of the EMSN and derive necessary specifications to allow for objective testing in large scale. Further, it will demonstrate the potential of EMSN as a maritime safety test-bed on the STM case. Therefore, the simulations executed within the EMSN are evaluated regarding their safety level in order to demonstrate the effects of various measures to improve safety. Based on a fuzzy logic approach, numerical Data from the EMSN Data-Tracker is used as an input to assess a present traffic situation from the perspective of a specific ship and outputs a comprehensive safety index developed by expert opinions. The safety index is used to further analyze navigators’ behavior and decisions in different maritime traffic scenarios that are executed within the EMSN.
Rocznik
Tom
Strony
91--96
Opis fizyczny
Bibliogr. 21 poz., rys., tab.
Twórcy
autor
- Fraunhofer Center for Maritime Logistics and Services (CML), Hamburg, Germany
autor
- Fraunhofer Center for Maritime Logistics and Services (CML), Hamburg, Germany
autor
- Fraunhofer Center for Maritime Logistics and Services (CML), Hamburg, Germany
autor
- Fraunhofer Center for Maritime Logistics and Services (CML), Hamburg, Germany
Bibliografia
- 1. American Bureau of Shipping, 2006. Guide for Vessel Maneuverability, Houston: s.n.
- 2. Aylward, K., Lundh, M. & MacKinnon, S., 2018. EMSN Test Report - Evaluation of STM services: Human Factors. [Online] Available at: https://s3-eu-west1.amazonaws.com/stm-stmvalidation/uploads/ 20190403113930/STM_ID3.3.6-EMSN-TestReport_Evaluation-of-STM-services_Human-Factors.pdf [Accessed 10 04 2019].
- 3. Bai, W. & Wang, D., 2006. Fundamentals of Fuzzy Logic Control - Fuzzy Sets, Fuzzy Rules and Defuzzifications. Advanced Fuzzy Logic Technologies in Industrial Applications. In: s.l.: Springer - Verlag, pp. 17-36
- 4. European Commission, 2017. Connected and Automated Transport - Studies and Reports. [Online] Available at: http://ec.europa.eu/newsroom/horizon2020/document.cf m?doc_id=46276 [Accessed 10 04 2019].
- 5. IEEE, 1995. IEEE 1278.1-1995 Standard for Distributed Interactive Simulation (DIS), s.l.: s.n.
- 6. IMO, 2007. Formal Safety Assessment. Consolidated text of the Guidelines for Formal Safety Assessment (FSA) for use in the IMO rule-making process (MSC/Circ.1023−MEPC/Circ.392), s.l.: International Maritime Organisation.
- 7. ITU, 2014. Technical characteristics for an automatic identification system using time-division multiple access in the VHF maritime mobile band ITU-R M.1371-5. [Online] Available at: http://www.itu.int/dms_pubrec/itur/rec/m/R-REC-M.1371-5-201402-I!!PDF-E.pdf [Accessed 10 04 2019].
- 8. Jahn, C., 2018. Ship handling in the simulator network - Great potential for nautical safety. [Online] Available at: https://www.cml.fraunhofer.de/content/dam/cml/en/doc uments/Newsletter/Newsletter_4-18_EN.pdf [Accessed 10 04 2019].
- 9. John, O. et al., 2014. Assessing the MONALISA 2.0 Concept: Establishment of the European Maritime Simulation Network. ISIS.
- 10. Kozlowska, E., 2012. Basic principles of fuzzy logic. [Online] Available at: http://access.feld.cvut.cz/view.php? cisloclanku=2012080002 [Accessed 10 04 2019].
- 11. Mamdani, E. H. & Assilion, S., 1975. An Experiment in Linguistic Synthesis With a Fuzzy Logic Controller. International Journal of Man-Machine Studies, 7, pp. 1-13.
- 12. Olindersson, F., Bruhn, W., Scheidweiler, T. & Andersson, A., 2017. Developing a Maritime Safety Index using Fuzzy Logics. TransNav (Vol. 11, No. 3), pp. 469-475.
- 13. Perera, L. P., Carvalho, J. P. & Soares, C. G., 2011. Fuzzy logic based decision making system for collision avoidance of ocean navigation under critical collision conditions. Journal of Marine Science and Technology, pp. 84-99.
- 14. PIANC, 2014. Harbour Approach Channels and Design Guidelines - Report No 121-2014, s.l.: The World Association for Waterborne Transport Infrastructure.
- 15. Poschmann, P. & Burmeister, H.-C., 2017. European Maritime Simulator Network Technical Description for STM Validation. [Online] Available at: https://s3-eu-west-1.amazonaws.com/stmstmvalidation/uploads/20190403113947/STM_ID3.2.1EMSN-Technical-Description.pdf [Accessed 10 04 2009].
- 16. Rizvanolli, A., Burmeister, H.-C. & John, O., 2015. The role of the European Maritime Simulator Network in assessing dynamic sea traffic management principles. TransNav (Vol. 9, No. 4), pp. 559-564.
- 17. Rothblum, A. M., n.d. Human Error and Marine Safety. [Online] Available at: http://www.bowleslangley.com/wpcontent/files_mf/humanerrorandmarinesafety26.pdf [Accessed 10 04 2019]
- 18. Sanquist, T. F., 1992. Human Factors in Maritime Applications: A New Opportunity for Multi-Modal Transportation Research. Proceedings of the Human Factors 36th Annual Meeting, pp. 1123-1127.
- 19. Scheidweiler, T. & Weber, R., 2018. EMSN Test Report: Numerical Data Analysis Southern Baltic Scenario. [Online] Available at: https://s3-eu-west-1.amazonaws. com/stmstmvalidation/uploads/20190403113932/ STM_ID3.3.7EMSN-Numerical-Data-Analysis_Southern-BalticScenario.pdf [Accessed 10 04 2019].
- 20. Serban, P. S. & Panaitescu, V. N., 2016. Comparison Between Formulas of Maximum Ship Squat. "Mircea cel Batran" Naval Academy Scientific Bulletin, Volume XIX - Issue 1, pp. 105-111.
- 21. Zadeh, L. A., 1965. Fuzzy Sets. In: Information and Control. s.l.:s.n., pp. 338-353.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e017f045-1161-419e-8da1-792385933f34