IDENTIFICATION OF “HUMAN ERROR” NEGATIVE MANIFESTATION IN MARITIME TRANSPORT
detection of primary factors and secondary factors of subjective entropy of the navigator increase.
Method. Within the scope of this work, the phases of the navigator’s activity are determined, in which negative manifestations of the human error arise. This most often occurs during emergency situations. It is determined that the navigator’s loss of focus leads to inadequate actions in relevant situations. Stressful situations are the second reason that affects self-control level. The factors’ expanses influencing the navigator’s subjective entropy increase as well as the vector affecting the subjective entropy at the first level of the formal system are determined. The arrangement of sets of factors was carried out. The arrangement result represents the formal system’s first level description. Multi-objective optimization problem is vital for optimal solutions identification. The patterning’s target is error evaluation on finding a vector, which is an essential stage. The lower limit of the system identification level is determined. The formal description of actions at the second level of the system is carried out and vector is specified at this level. The dependences of second-level vectors’ impacts on navigator subjective entropy increase are specified with maximum accuracy. Time input estimation for system actuation allows us to determine three operating modes of the system. The
input data for operating modes specification is indicated. The matrix-based framework algorithm of navigator’s
behavior during emergency situations is given.
Results. Formal approaches were confirmed by simulation patterning using the navigation simulator NTPRO 5000.
The data obtained allowed to build an algorithm in navigator’s shaping of in various situations.
Conclusions. The proposed formal approaches, patterns and algorithms will provide a basis for navigator’s behavior analysis during emergency situations. The search of the best practice of human error data mining based on real data and simulator training data can be the direction for future research. This will allow to determine the mathematical
expectation of navigator’s behavior in emergency situations, as well as when performing operations with a low coefficient of experience.
Full Text:PDF (Українська)
Berg, H. P. Human Factors and Safety Culture in Maritime Safety, The International Journal on Marine Navigation and Safety of Sea Transportation, 2013, Vol. 7, Number 3, . pp. 343–352. DOI: 10.12716/1001.07.03.04.
Guidance notes on safety culture and leading indicators of safety. [Effective from 01.01.2012]. Houston:American Bureau of Shipping (ABS), 2012, 74 p.
Havold, J. I. Safety culture and safety management aboard tankers, Reliability Engineering & System Safety, Vol. 95, Issue 5, 2010, pp. 511–519. DOI:
Corović B., Djurovic P. Research of Marine Accidents
through the Prism of Human Factors, Promet Traffic &
Transportation, 2013, Vol. 25, No. 4, pp. 369–377. DOI:
7307/ptt.v25i4.1210 5. Charles A., O’Reilly I. Variations in Decision Makers’ Use of Information Sources: The Impact of Quality and
Accessibility of Information, Journal Academy of
Management ACAD MANAGE, 1982, Vol. 25, No. 4, P.
–771. DOI: 10.2307/256097
Kasianov V. Subjective entropy of preferences. Poland, Istitut of Aviation Scientific Publications, ALKOR,
Warsaw, 2013, P. 637. DOI: 10.12691/rpbs-2-3-2
Arslan O., Er I. D. Effects of Fatigue on Navigation Officers and SWOT Analyze for Reducing Fatigue Related Human Errors on Board TransNav, The International Journal on Marine Navigation and Safety of Sea Transportation, 2007, Vol. 1, Number 3, September, pp. 345–349.
Carotenuto A. Angiola M. F., Ivana M., Sibilio F., Saturnino A., Traini E., Amenta F. The Psychological General Well- Being Index (PGWBI) for assessing stress of seafarers on board merchant ships, International Maritime Health, 2013, 64(4), pp. 215–220. DOI: 10.5603/IMH.2013.0007
Raymond M. S. Theory of Formal Systems, Annals of
Mathematics Studies. Princeton University Press, 1961,
P. 156. 10. Taylor A. E. Introduction to functional analysis. NY, John Wiley and Sons, 1958, P. 423. DOI: 10.2307/3617971.
Jech, T. Set theory. corr. ed. Berlin; Heidelberg; New York; Barcelona; Budapest; Hong Kong; London; Milan; Paris; Santa Clara; Singapore; Tokyo; Springer, 1997, P. 243. DOI: 10.1007/3-540-44761-X.
Stadler I., Wolfram S. Multicriteria optimization in
engeneering and in sciences. New York, Springer Science, Business Media, 1988, P. 401. DOI: 10.1007/978-1-4899-3734-6.
Hyun C. L., Poong H. S. A computational model for
evaluating the effects of attention, memory, and mental
models on situation assessment of nuclear power plant
operators, Reliability Engineering & System Safety, 2009,
Vol. 94, Issue 11, pp. 1796-1805. DOI:
Hetherington C., Flin R., Mearns K. Safety in shipping: The human element, Journal of Safety Research, 2006, Vol. 37, Issue 4, pp. 401–411. DOI: 10.1016/j.jsr.2006.04.007.
Dowdy S., Wearden S. Statistics for Research. Wiley, 1983, P. 230, ISBN 0-471-08602-9. DOI:
Nosov P. S., Ben A. P., Safonov M. S. Model construction of individual scenarios for the elimination of the human factor, Suchasnі іnformacіjnі ta іnnovacіjnі texnologії na transportі, MINTT-2018, Materіali X Mіzhnarodnoї naukovo-praktichnoї konferencії. Xerson, 29–31 Maya 2018, pp. 224–225.
GOST Style Citations
Copyright (c) 2019 P. S. Nosov, A. P. Ben, V. N. Matejchuk, M. S. Safonov
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Address of the journal editorial office:
Editorial office of the journal «Radio Electronics, Computer Science, Control»,
National University "Zaporizhzhia Polytechnic",
Zhukovskogo street, 64, Zaporizhzhia, 69063, Ukraine.
Telephone: +38-061-769-82-96 – the Editing and Publishing Department.
The reference to the journal is obligatory in the cases of complete or partial use of its materials.