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Navigational Traffic Conflict Technique: A Proactive Approach to Quantitative Measurement of Collision Risks in Port Waters

Published online by Cambridge University Press:  01 December 2009

Ashim Kumar Debnath  and
Hoong Chor Chin
Ashim Kumar Debnath*
Affiliation:
(Department of Civil Engineering, National University of Singapore)
Hoong Chor Chin
Affiliation:
(Department of Civil Engineering, National University of Singapore)
*
(Email: [email protected])
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Abstract

Navigational safety analysis relying on collision statistics is often hampered because of the low number of observations. A promising alternative approach that overcomes this problem is proposed in this paper. By analyzing critical vessel interactions this approach proactively measures collision risk in port waters. The proposed method is illustrated for quantitative measurement of collision risks in Singapore port fairways, and validated by examining correlations between the measured risks with those perceived by pilots. This method is an ethically appealing alternative to the collision-based analysis for fast, reliable and effective safety assessment, thus possessing great potential for managing collision risks in port waters.

Keywords

Navigational collision riskTraffic conflict techniquePort safetyQuantitative risk analysis
Type
Research Article
Information
The Journal of Navigation , Volume 63 , Issue 1 , January 2010 , pp. 137 - 152
Copyright
Copyright © The Royal Institute of Navigation 2009

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References

REFERENCES

Akten, N. (2004). Analysis of shipping casualties in the Bosphorus. The Journal of Navigation, 57, 345–356.CrossRefGoogle Scholar
Allen, B. L., Shin, B. T., Cooper, P. J. (1978). Analysis of traffic conflcits and collisions. Transportation Research Record, 667, 67–74.Google Scholar
Chin, H. C. and Debnath, A. K. (2008). Statisical analysis of conflict involvements in port water navigation. Proceedings of the MARTECH 2008, Singapore Maritime Academy, Singapore.Google Scholar
Chin, H. C. and Debnath, A. K. (2009). Modeling perceived collision risk in port water navigation. Safety Science, 47(10), 1410–1416.CrossRefGoogle Scholar
Chin, H. C. and Quek, S. T. (1997). Measurement of traffic conflicts. Safety Science, 26(3), 169–185.CrossRefGoogle Scholar
Chin, H. C., Quek, S. T. and Cheu, R. L. (1991). Traffic conflicts in expressway merging. Journal of Transportation Engineering, 117(6), 633–643.CrossRefGoogle Scholar
Darbra, R.-M. and Casal, J. (2004). Historical analysis of accidents in seaports. Safety Science, 42(2), 85–98.CrossRefGoogle Scholar
Debnath, A. K. and Chin, H. C. (2006). Analysis of marine conflicts. Proceedings of the Nineteenth KKCNN Symposium on Civil Engineering, Kyoto, Japan.Google Scholar
Debnath, A. K. and Chin, H. C. (2009). Hierarchical modeling of perceived collision risks in port fairways. Transportation Research Record, 2100, 68–75.CrossRefGoogle Scholar
FHWA (2003). Surrogate safety measures from traffic simulation models. Report No. FHWA-RD-03-050, Federal Highway Administration, USA.Google Scholar
Glauz, W. D. and Migletz, D. J. (1980). Application of traffic conflicts analysis at intersections. Report No. NCHRP 219, Transportation Research Board, USA.Google Scholar
Goodwin, E. M. (1975). A statistical study of ship domains. The Journal of Navigation, 28, 328–344.CrossRefGoogle Scholar
Goossens, L. H. J. and Glansdorp, C. C. (1998). Operational benefits and risk reduction of marine accidents. The Journal of Navigation, 51, 368–381.CrossRefGoogle Scholar
Guttinger, V. A. (1982). From accidents to conflicts: alternative safety measurement. Proceedings of the Third International Workshop on Traffic Conflict Techniques, Leidschendam, The Netherlands.Google Scholar
Hauer, E. (1979). Methodological assessment of the techniques. Proceedings of the Second International Traffic Conflict Technique Workshop, Paris, France.Google Scholar
Hayward, J. C. (1972). Near-miss determination through use of a scale of danger. Report No. HRR 384, Highway Research Board, USA, 24–35.Google Scholar
Horst, van der. (1990). A time-based analysis of road user behaviour at intersections. Proceedings of the Third Workshop of International Cooperation on Theories and Concepts in Traffic Safety, Cracow, Poland.Google Scholar
Hyden, C. A. (1977). Traffic conflicts technique for examining urban intersection problems. Proceedings of the First Workshop on Traffic Conflicts, Institute of Transport Economics, Oslo, Norway.Google Scholar
Hyden, C. A. (1987). The development of method for traffic safety evaluation: The Swedish Traffic Conflict Technique, Bull. 70. Lund Institute of Technology, Lund.Google Scholar
Liu, C.-P., Liang, G.-S. et al. (2006). Navigation safety analysis in Taiwanese ports. The Journal of Navigation, 59, 201–211.CrossRefGoogle Scholar
Liu, Q., Pedersen, E., Okazaki, T., Fukuto, J. and Tanaka, K. (2006). Direct perception interface for ship-ship collision avoidance. Proceedings of the IEEE 2006 International Conference on Systems, Man and Cybernetics, Taipei, Taiwan.CrossRefGoogle Scholar
Long, J. S. and Freese, J. (2006). Regression models for categorical dependent variables using Stata, Stata Press, Texas, USA.Google Scholar
Merrick, J. R. W., van Dorp, J. R., Blackford, J. P., Shaw, G. L., Harrald, J. and Mazzuchi, T. A. (2003). A traffic density analysis of proposed ferry service expansion in San Francisco Bay using a maritime simulation model. Reliability Engineering & System Safety, 81(2), 119–132.CrossRefGoogle Scholar
Minderhoud, M. M. and Bovy, P. H. L. (2001). Extended time-to-collision measures for road traffic safety assessment. Accident Analysis & Prevention, 33(1), 89–97.CrossRefGoogle ScholarPubMed
MPA (2006). Singapore port information (2006/2007 Edition). Maritime and Port Authority of Singapore, Singapore.Google Scholar
Pedersen, E., Inoue, K. and Tsugane, M. (2003). Simulator studies on a collision avoidance display that facilitates efficient and precise assessment of evasive manoeuvres in congested waterways. The Journal of Navigation, 56, 411–427.CrossRefGoogle Scholar
Perez, F. L. and Clemente, J. A. (2007). The influence of some ship parameters on manoeuvrability studied at the design stage. Ocean Engineering, 34(3–4), 518–525.CrossRefGoogle Scholar
Sato, Y. and Ishii, H. (1998). Study of a collision-avoidance system for ships. Control Engineering Practice, 6(9), 1141–1149.CrossRefGoogle Scholar
Soares, C. G. and Teixeira, A. P. (2001). Risk assessment in maritime transportation. Reliability Engineering & System Safety, 74(3), 299–309.CrossRefGoogle Scholar
Songchitruksa, P. and Tarko, A. P. (2006). The extreme value theory approach to safety estimation. Accident Analysis & Prevention, 38(4), 811–822.CrossRefGoogle ScholarPubMed
Spicer, B. R. (1971). A pilot study of traffic conflicts at rural dual carriageway intersections. Report No. LR 410, Transport Road Research Laboratory, Crowthorne.Google Scholar
Spicer, B. R. (1973). A study of traffic conflicts at six intersections. TRRL Report LR 551, Transport and Road Research Laboratory, Crowthorne.Google Scholar
Stephens, M. A. (1974). EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69(347), 730–737.CrossRefGoogle Scholar
Szlapczynski, R. (2006). A unified measure of collision risk derived from the concept of a ship domain. The Journal of Navigation, 59, 477–490.CrossRefGoogle Scholar
Tarko, A. P. and Songchitruksa, P. (2005). Measuring roadway safety. Proceedings of the Road Safety on Four Countries, Warsaw, Poland.Google Scholar
Williams, M. J. (1981). Validity of the traffic conflicts technique. Accident Analysis & Prevention, 13(2), 133–145.CrossRefGoogle Scholar
Yip, T. L. (2008). Port traffic risks – A study of accidents in Hong Kong waters. Transportation Research Part E: Logistics and Transportation Review, 44(5), 921–931.CrossRefGoogle Scholar
Zhu, X., Xu, H. and Lin, J. (2001). Domain and its model based on neural networks. The Journal of Navigation, 54, 97–103.CrossRefGoogle Scholar
Zimolong, B., Gstalter, H. and Erke, H. (1980). Traffic conflicts at urban junctions: reliability and validity studies. Technical University of Braunschweig.Google Scholar