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A Method for the Analysis and Processing of Marine Collision Data

Published online by Cambridge University Press:  23 November 2009

J. F. C. Brok  and
R. P. van der Vet
R. P. van der Vet
Affiliation:
(Koninklijke/Shell-Laboratorium, Amsterdam)
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Extract

This paper presents a description of a general method for the evaluation of marine collision risk. The approach differs considerably from existing methods in this area, in that it combines analytical modelling in a special way to analyse historical data. The method makes it possible to find the collision probability of a specific ship in any particular location, taking into account such location factors as area geometry, ship movements and speeds. It also constitutes a basis for worldwide data collection.

In view of the growth of marine traffic and the increase in the transportation of hazardous materials over the past two decades, considerable efforts are being made towards the development of maritime risk evaluation methods, the main objective being the quantification of ship collision probability. The methods developed to date can roughly be subdivided into the following two groups: (a) kinematic models (see for instance refs. 1–6); (b) historical data analysis (see for instance refs. 7–17). It is a well-established fact that most collisions are due to human failures, and it is widely accepted that human behaviour cannot be described well by mathematical formulae. Kinematic models are therefore not recognized as suitable for estimating this probability. Historical data analysis estimates the collision probability as the ratio of the number of observed collisions to the number of ship movements. Probabilities estimated in this way are only correct in a probabilistic sense when the assumption is satisfied that every ship movement has the same probability of collision. This assumption is rarely fulfilled since most ships often pass each other without collision danger. In addition, this approach is often hampered by lack of data for a specific traffic area, while the application of worldwide data cannot be considered realistic. As far as we know, there does not exist a method which can transfer, in a statistically justifiable manner, marine traffic data from one area to another. Moreover, neither of the above-mentioned approaches is appropriate to analyse alternative routes in the same area, or under changing circumstances.

Type
Research Article
Information
The Journal of Navigation , Volume 37 , Issue 1 , January 1984 , pp. 49 - 59
Copyright
Copyright © The Royal Institute of Navigation 1984

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References

REFERENCES

1Goodwin, E. M. (1978). Marine encounter rates, this Journal, Proceedings of the 3rd International Symposium on arine Traffic Service, Liverpool, 3–6 April 1978, pp. 76–91.Google Scholar
2Van der Tak, C., Spaans, J. A. (1977). A model for calculating a maritime risk criterium number. This Journal, 30, 287.Google Scholar
3Lewison, G. R. G. (1979). The modelling of marine taffic flow and potential encounter. In Mathematical Aspects of Marine Traffic (ed. Hollingdale, S. H.).Google Scholar
4Lewison, G. R. G. (1978). The risk of a ship encounter leading to a collision. This Journal, 3, 384.Google Scholar
5Miloh, T. and Sharma, S. D. (1976). Maritime Collision Avoidance as a Differential Game. Institut fur Schiffbau der Universitat Hamburg, Bericht Nr 329.Google Scholar
6Kwik, K. H. (1975). Calculation of the Encounter Rate. Institut fur Schiffbau der Universitat Hamburg, Bericht Nr 335.Google Scholar
7Cockcroft, A. N. (1978). Statistics of ship collisions. The Journal, 31, 213.Google Scholar
8Tuovinen, P., Kostilainen, V. and Hamalainen, A. (1983). Studies on Ship Casualties in the Baltic Sea. Ship Hydrodynamics Laboratory, University of Technology, Helsinki, report no. 24.Google Scholar
9Analysis of Marine Incidents in Ports and Harbours. National Ports Council (1976).Google Scholar
10Ligthart, V. H. M. (1980). Determination of probability of marine accidents with respect to gas carriers proceeding in Dutch coastal and inland waters. Journal of Hazardous Materials, 3, 233CrossRefGoogle Scholar
11Risk Analysis of the Import of LPG on Jour Different Locations in the Netherlands (in Dutch). TNO report (1980).Google Scholar
12Karlsen, J. E., Kristiansen, S. (1980). Statistical Survey of Collisions and Groundings for Norwegian Shipsfor the Period 1970–1978. Det Norske Veritas, report no. 80-0199, 44 pp.Google Scholar
13Ecker, W. J. (1978). Casualty analysis of selected waterways. Proceedings of the Third International Symposium on Marine Traffic Service, Liverpool, 3–6 April 1978, supplement pp. 13–93.Google Scholar
14Groenhuis, S. (1981). Tanker Incidents: an Analysis of Vessels over 100,000 tons Deadweight 1973–1978. Maritime Research Institute Netherlands (MARIN), report no. R 211.Google Scholar
15Read, J. F. (1981). Shipping Casualties Around the British Isles 1970–1975. National Maritime Institute (NMI), report no. R 106.Google Scholar
16Coldwell, T. G. A Maritime Traffic Study in the Humber Seaway. Thesis, Hull College of Higher Education, School of Nautical Studies.Google Scholar
17Goodwin, E. M. and Kemp, J. F. (1977). A survey of maritime traffic in the Southern North Sea. This Journal, 30, 378.Google Scholar
18Brok, J. F. C. and van der Vet, R. P. (in prep.). A Method for the Analysis and Processing of Marine Collision Data. Mathematical Description. Koninklijke/Shell-Laboratorium, Amsterdam (Shell Research B.V.), report AMER. 83. 042.Google Scholar