Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The maritime shipping industry has been making significant contributions to the development of the regional and global economy. However, maritime accidents and their severe consequences have been posing an incrementing risk to the individuals and societies. It is therefore important to conduct risk analysis on such accidents to support maritime safety management. In this paper, a modified ship collision candidate detection method is proposed as a tool for collision risk analysis in ports and waterways. Time-Discrete Velocity Obstacle algorithm (TD-NLVO) is utilized to detect collision candidates based on the encounter process extracted from AIS data. Ship domain model was further integrated into the algorithm as the criteria for determination. A case study is conducted to illustrate the efficacy of the improved model, and a comparison between the existing method and actual ship trajectories are also performed. The results indicate that with the integration of ship domain, the new method can effectively detect the encounters with significant collision avoidance behaviours. The choice of criteria can have a significant influence on the results of collision candidate detection.
Rocznik
Tom
Strony
751--758
Opis fizyczny
Bibliogr. 23 poz., rys., tab.
Twórcy
autor
- Delft University of Technology, Delft, Netherlands
autor
- Delft University of Technology, Delft, Netherlands
autor
- Wuhan University of Technology, Wuhan, China
Bibliografia
- 1. Chen, P., Huang, Y., Mou, J., van Gelder, P.H.A.J.M., 2018. Ship collision candidate detection method: A velocity obstacle approach. Ocean Engineering 170, 186‐198.
- 2. Christian, R., Kang, H.G., 2017. Probabilistic risk assessment on maritime spent nuclear fuel transportation (Part II: Ship collision probability). Reliability Engineering & System Safety 164, 136‐149.
- 3. COWI, 2008. Risk Analysis Sea trafic Area around Bornholm.
- 4. Cucinotta, F., Guglielmino, E., Sfravara, F., 2017. Frequency of Ship Collisions in the Strait of Messina through Regulatory and Environmental Constraints Assessment. Journal of Navigation 70 (5), 1002‐1022.
- 5. Degré, T., Lefèvre, X., 1981. A Collision Avoidance System. Journal of Navigation 34 (02), 294‐302.
- 6. Fiorini, P., Shiller, Z., 1998. Motion planning in dynamic environments using velocity obstacles. The International Journal of Robotics Research 17 (7), 760‐772.
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- 8. Fujii, Y., Tanaka, K., 1971. Traffic Capacity. Journal of Navigation 24 (04), 543‐552.
- 9. Huang, Y., van Gelder, P., Mendel, M.B., 2017. Imminent ships collision risk assessment based on velocity obstacle.
- 10. Huang, Y., van Gelder, P.H.A.J.M., Wen, Y., 2018. Velocity obstacle algorithms for collision prevention at sea. Ocean Engineering 151, 308‐321.
- 11. Large, F., Sekhavat, S., Shiller, Z., Laugier, C., 2002. Towards real‐time global motion planning in a dynamic environment using the NLVO concept, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 607‐612 vol.601.
- 12. Lenart, A.S., 1983. Collision Threat Parameters for a New Radar Display and Plot Technique. Journal of Navigation 36 (3), 404‐410.
- 13. Li, S., Meng, Q., Qu, X., 2012. An overview of maritime waterway quantitative risk assessment models. Risk Anal 32 (3), 496‐512.
- 14. Li, S., Zhou, J.H., Zhang, Y.Q., 2015. Research of Vessel Traffic Safety in Ship Routeing Precautionary Areas Based on Navigational Traffic Conflict Technique. Journal of Navigation 68 (3), 589‐601
- 15. Macduff, T., 1974. The probability of vessel collisions. Ocean Industry 9 (9).
- 16. Montewka, J., Goerlandt, F., Kujala, P., 2012. Determination of collision criteria and causation factors appropriate to a model for estimating the probability of maritime accidents. Ocean Engineering 40, 50‐61.
- 17. Montewka, J., Hinz, T., Kujala, P., Matusiak, J., 2010. Probability modelling of vessel collisions. Reliability Engineering & System Safety 95 (5), 573‐589.
- 18. Pedersen, P.T., 1995. Collision and grounding mechanics. Proceedings of WEMT 95 (1995), 125‐157.
- 19. Szlapczynski, R., Krata, P., Szlapczynska, J., 2018. Ship domain applied to determining distances for collision avoidance manoeuvres in give‐way situations. Ocean Engineering 165, 43‐54.
- 20. Szlapczynski, R., Szlapczynska, J., 2016. An analysis of domain‐based ship collision risk parameters. Ocean Engineering 126, 47‐56.
- 21. Wang, N., 2010. An Intelligent Spatial Collision Risk Based on the Quaternion Ship Domain. Journal of Navigation 63 (4), 733‐749.
- 22. Ylitalo, J., 2010. Modelling marine accident frequency, Alto University School of Scence and Technology Faculty of Information and Natural Science.
- 23. Zhang, W.B., Kopca, C., Tang, J.J., Ma, D.F., Wang, Y.H., 2017. A Systematic Approach for Collision Risk Analysis based on AIS Data. Journal of Navigation 70 (5), 11171132.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-404f2317-692b-4e19-b916-d616bf4edde5