Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Many ship collisions have been caused by a navigator’s error in the situation awareness (SA) of the navigator. In congested sea areas, navigators classify ships on the basis of different priority levels. For safety measures against ship collision, it is imperative for navigators to recognize the ships with high priority levels. In previous study, navigators’ SA was measured in a ship maneuvering simulator using the Situation Awareness Global Assessment Technique (SAGAT). From the results of the previous study, we proposed a new risk category, named as “attention area,” that covers ships with high priority level in the SA of navigators. However, the extent of data for navigators’ SA was limited. Therefore, the purpose of this study is to confirm the validity of the category using additional data of navigators SA. In this study, the validity of the proposed category was confirmed, and a limit line surrounding ships with high priority levels was identified. In addition, it was evident that the category was able to detect ships with high priority level around the time when the collision avoidance was performed.
Rocznik
Tom
Strony
295--300
Opis fizyczny
Bibliogr. 11 poz., rys., tab.
Twórcy
autor
- Tokyo University of Marine Science and Technology, Tokyo, Japan
autor
- Tokyo University of Marine Science and Technology, Tokyo, Japan
autor
- Tokyo University of Marine Science and Technology, Tokyo, Japan
Bibliografia
- 1 Akyuz, E and Celik, M. 2014. Utilisation of Cognitive Map in Modelling Human Error in Marine Accident Analysis and Prevention. Safety Science. Vol.70:19‐28.
- 2 Corovic, B. M. and Djurovic, P. 2013. Research of Marine Accidents through the PRISM of Human Factors. PROMET ‐ Traffic & Transportation. Vol.25 No.4: 369377.
- 3 Endsley, M. R. 1995. Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors: The Journal of the Human Factors & Ergonomics Society. Vol.37 Issue 1: 32‐64
- 4 Grech, M., Horberry, T. and Smith, A. 2012. Human Error in Maritime Operations: Analyses of Accident Reports Using the Leximancer Tool, Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Vol.46 No.19: 1718‐1721.
- 5 Hara, K. and Nagasawa, A. et al. 1990. The Subjective Risk Assessment of Ships Collision. Journal of Japan Institute of Navigation. Vol.83: 71‐80. (in Japanese)
- 6 Hara, K. and Nakamura, S. 1995. A Comprehensive Assessment System for the Maritime Traffic Environment. Safety Science. Vol.19 Issue 2‐3: 203‐215.
- 7 Koester, T. and Sorensen, P. K. 2003. Human Factors Assessment. Proceedings of International Conference on Marine Simulation and Ship Maneuverability 2003. I. RA‐20.
- 8 Nishizaki, C. and Itoh, H. 2015. Development of a Method for Ship Collision Analysis with Bridge Simulator. International Journal on Emerging Trends in Engineering and Technology. Vol.3. Issue 1: 11‐20.
- 9 Nishizaki, C and Takemoto, T. 2016. Measurement of a Navigatorʹs Situation Awareness for Crossing Ships using SAGAT. Proceedings of Asia Navigation Conference 2016. 7‐13.
- 10 Okazaki, T. and Ohya, M. 2012. A Study on Situation Awareness of Marine Pilot Trainees in Crowded Sea Route. Proceedings of IEEE International Conference on System, Man and Cybernetics 2012. 1525‐1530.
- 11 Romer, H. & Petersen, H. J. S. & Haastrup, P. 2009. Marine Accident Frequencies ‐ Review and Recent Empirical Results ‐. Journal of Navigation. Vol.48: 410‐424
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
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