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Abstrakty
Current maritime transportation and shipping is characterized by rapid technological developments effecting the basic concepts of operating ships and even changing traditional paradigms of controlling ships. The e-Navigation concept of the International Maritime Organization (IMO) specifically aims at more comprehensive and reliable support of the human operators on-board and ashore. However, autonomous unmanned ships remote controlled or even autonomously navigating are expected to come soon. In this paper, selected operational aspects of maritime traffic merging conventional and unmanned remote controlled ships in coastal areas are discussed. Furthermore, some preliminary results of experimental simulation studies into a future scenario of maritime traffic are presented and preliminary conclusions in respect to job profiling and training requirements are discussed.
Rocznik
Tom
Strony
495--501
Opis fizyczny
Bibliogr. 27 poz., rys.
Twórcy
autor
- Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Wismar, Germany
autor
- Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Wismar, Germany
autor
- World Maritime University, Malmö, Sweden
autor
- World Maritime University, Malmö, Sweden
autor
- World Maritime University, Malmö, Sweden
autor
- World Maritime University, Malmö, Sweden
Bibliografia
- [1] Burmeister HC, Bruhn WC, Rodseth ØJ, Porathe T (2014). Can unmanned ships improve maritime safety? In proceedings of TRA, Paris/France, 14.‐16. April 2014
- [2] Kitada M, Baldauf M, Mannov A, et al. (2019). Command of vessels in the era of digitalization. In: Kantola J, Nazir S, Barath T (eds.) Advances in human factors, business management and society. AHFE 2018, Advances in Intelligent Systems and Computing, vol. 783. Springer, Cham. DOI: 10.1007/978‐3‐319‐94709‐9_32
- [3] Lloyd’s Register (2017). Shipright design and construction, additional design procedures: design code for unmanned marine systems. Lloyd’s Register, London.
- [4] IMO (2018). Vessel traffic services. Accessed 11 September 2018. www.imo.org/en/OurWork/Safety/ Navigation/Pages/VesselTrafficServices.aspx.
- [5] Weintrit A (2016). e‐Nav, is it enough? TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, vol. 10, no. 4, pp. 567‐574.
- [6] Porathe T, Burmeister HC, Rødseth ØJ (2013). Maritime unmanned navigation through intelligence in networks: The MUNIN Project, in proceedings of COMPIT, Cortona/Italy 15‐17. April 2013.
- [7] Baldauf M, Kitada M, Mehdi R, Dalaklis D (2018). eNavigation, digitalization and unmanned ships: challenges for future maritime education and training. In: 12th Annual International Technology, Education and Development Conference (INTED), Barcelona, Spain.
- [8] IMO (2018). Regulatory scoping exercise for the use of maritime autonomous surface ships (MASS). MSC 99/5/12, 27 March 2018.
- [9] Noma T (2016). Existing conventions and unmanned ships ‐ need for changes? World Maritime University Dissertations, 527.
- [10] Chong JC (2018). Impact of Maritime Autonomous Surface Ships (MASS) on VTS Operations. World Maritime University Dissertations, Malmö.
- [11] Porathe T, Hoem A, Rodseth O, Fjörttoft (2018). At least as safe as manned shipping? Autonomous shipping, safety and “human error”. In: Haugen et al. (Eds) Safety and Reliability – Safe Societies in a Changing World, pp. 417‐425, Taylor & Francis Group, London, UK
- [12] Sari N.K. (2017). A Study on e‐Navigation Modus Operandi. Malmö, Sweden: World Maritime University, 2017.
- [13] Quinisio, BS (2018) Development of a strategy for management of autonomous ships by coastal states. World Maritime University Dissertations, Malmö. .
- [14] Kongsberg Maritime. (2018). Autonomous ship project, key facts about YARA Birkeland https://www.km.kongsberg.com/ks/web/nokbg0240.nsf/ AllWeb/4B8113B707A50A4FC125811D00407045?OpenD ocument. [Accessed 2019–01–13].
- [15] KRATA, P. & MONTEWKA, J. 2015. Assessment of a critical area for a give‐way ship in a collision encounter. Archives of Transport, 34, 51‐60.
- [16] BALDAUF, M., BENEDICT, K., FISCHER, S., MOTZ, F. & SCHRODER‐HINRICHS, J. U. 2011. Collision avoidance systems in air and maritime traffic. Proceedings of the Institution of Mechanical Engineers Part O‐Journal of Risk and Reliability, 225, 333‐343.
- [17] Baldauf, M., Benedict, K., Krüger, C.M. (2014) “Potentials of e‐Navigation – Enhanced Support for Collision Avoidance” TransNav, the International Journal on Marine Navigation and Safety if Sea Transportation, vol. 8, no. 4, pp. 613–617, 2014
- [18] Mehdi, R. A., Baldauf, M. and Deeb, H. (2019) ‘A dynamic risk assessment method to address safety of navigation concerns around offshore renewable energy installations’, Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment. doi: 10.1177/147509021983740
- [19] SZLAPCZYNSKI, R., KRATA, P. & SZLAPCZYNSKA, J. 2018. Ship domain applied to determining distances for collision avoidance manoeuvres in give‐way situations. Ocean Engineering, 165, 43‐54.
- [20] TAM, C. & BUCKNALL, R. 2010. Collision risk assessment for ships. Journal of Marine Science and Technology, 15, 257‐270.
- [21] TAM, C. & BUCKNALL, R. 2013. Cooperative path planning algorithm for marine surface vessels. Ocean Engineering, 57, 25‐33.
- [22] Baldauf M, Mehdi, RA, Fischer S, Gluch M (2017) A perfect warning to avoid collisions at sea? Scientific Journals of the Maritime University of Szczecin. 53. 5364. 10.17402/245.
- [23] Porathe T, Prison J, Man Y (2014). Situation awareness in remote control centres for unmanned ships. In Proceedings of Human Factors in Ship Design & Operation, 26‐27. February 2014, London, UK.
- [24] Ramosa MA, Utne IB, Mosleh A (2019) Collision avoidance on maritime autonomous surface ships: Operators’ tasks and human failure events. Safety Science, Vol. 116, pp. 33‐44
- [25] Wrobel K, Montewka J, Kujala, P (2018) Towards the development of a system‐theoretic model for safety assessment of autonomous merchant vessels. Reliability Engineering & System Safety Vol. 178, pp. 209‐224
- [26] Thieme CA, Utne IB (2017), Safety performance monitoring of autonomous marine systems. Reliability Engineering & System Safety Vol. 159, pp. 264‐275
- [27] Wrobel K, Montewka J, Kujala, P (2017), Towards the assessment of potential impact of unmanned vessels on maritime transportation safety. Reliability Engineering & System Safety Vol. 178, pp. 155‐169
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-506ffea9-a66f-4da5-941d-acced5932e2b