Hostname: page-component-cd9895bd7-mkpzs Total loading time: 0 Render date: 2024-12-25T05:44:23.012Z Has data issue: false hasContentIssue false
  • English
  • Français

Adding the Human Element to Ship Manoeuvring Simulations

Published online by Cambridge University Press:  13 September 2010

Karl Gunnar Aarsæther  and
Torgeir Moan
Karl Gunnar Aarsæther*
Affiliation:
(Norwegian University of Technology and Science)
Torgeir Moan
Affiliation:
(Norwegian University of Technology and Science)
*
(Email: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Time-domain simulation of ship manoeuvring has been utilized in risk analysis to assess the effect of changes to the ship-lane, development in traffic volume and the associated risk. The process of ship manoeuvring in a wider socio-technical context consists of the technical systems, operational procedures, the human operators and support functions. Automated manoeuvring simulations without human operators in the simulation loop have often been preferred in simulation studies due to the low time required for simulations. Automatic control has represented the human element with little effort devoted to explain the relationship between the guidance and control algorithms and the human operator which they replace. This paper describes the development and application of a model for the human element for autonomous time-domain manoeuvring simulations. The method is applicable in the time-domain, modular and found to be capable of reproducing observed manoeuvre patterns, but limited to represent the intended behaviour.

Keywords

Human factorsShip manoeuvringFast-time simulation
Type
Research Article
Information
The Journal of Navigation , Volume 63 , Issue 4 , October 2010 , pp. 695 - 716
Copyright
Copyright © The Royal Institute of Navigation 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Aage, C. (1971) Wind coefficients for nine ship models, Report A-3, Hydro and Aerodynamics laboratory, Danish Technical Press, Skelbekgade 4, Copenhagen V, Denmark, May 1971.Google Scholar
Aarsæther, K. G. and Moan, T. (2009) Estimating navigation patterns from AIS, The Journal of Navigation 62, 587–607.CrossRefGoogle Scholar
Chen, H. and Moan, T. (2004) Probabilistic modelling and evaluation of collision between shuttle tanker and fpso in tandem offloading, Reliability Engineering and System Safety 84, 169–186.CrossRefGoogle Scholar
Chen, J. K. and Stanney, K. M. (1999) A theoretical model of wayfinding in virtual environments: Proposed strategies for navigational aiding, Precense 6, 671–685.Google Scholar
Findlay, M. (2006) Allocation of attention by fishing vessel watchkeepers, The Journal of Navigation 59, 239–250.CrossRefGoogle Scholar
Fossen, T. I. (2005) A nonlinear unified state-space model for ship manoeuvring and control in a seaway, Journal of Bifurcation and Chaos.CrossRefGoogle Scholar
Gould, K. S., Røed, B. K., Saus, E. R., Koefoed, V. F., Bridger, R. S., and Moen, B. E. (2009) Effects of navigation method on workload and performance in simulated highs speed ship navigation, Applied Ergonomics 40, 103–114.CrossRefGoogle Scholar
Norrbin, N. H. (1971) Theory and observations on the use of a mathematical model for ship manoeuvring in deep and confined waters, Technical Report 68, Statens Skeppsprovingsanstalt (SSPA).Google Scholar
Hannaman, G. W. and Worledge, D. H. (1988) Some developments in human reliability analysis approaches and tools, Reliability Engineering and System Safety 22, 235–256.CrossRefGoogle Scholar
Hollnagel, E. (1998) Cognitive reliability and error analysis method, Elsevier Science.Google Scholar
Hutchison, B. L., Gray, D. L., and Mathai, T. (2003) Manoeuvring simulations – an application to waterway navigability, Transactions of the SNAME.Google Scholar
Lützhöft, M. H. and Nyce, J. N. (2006) Piloting by heart and by chart, The Journal of Navigation 59, 221–237.CrossRefGoogle Scholar
Pérez, T. and Blanke, M. (2002) Simulation of ship motion in seaway, Tech. report, Department of Electrical and Computer Engineering. The University of Newcastle, Australia.Google Scholar
Soares, C. G. and Teixeria, A. P. (2001) Risk assessment in maritime transport, Reliability Engineering and System Safety 74, 299–309.CrossRefGoogle Scholar
Van Berlekom, W. B. and Goddard, T. A. (1973) Manoeuvring of large tankers, Transactions of the SNAME.Google Scholar
Zeigler, B. P., Praehoffer, H., and Kim, T. G. (2000) Theory of modelling and simulation second edition, Academic Press – Elsevier Science USA.Google Scholar