Journal is indexed in following databases:

2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
Integration of Elliptical Ship Domains and Velocity Obstacles for Ship Collision Candidate Detection
1 Delft University of Technology, Delft, Netherlands
2 Wuhan University of Technology, Wuhan, China
ABSTRACT: 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.
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. - doi:10.1016/j.oceaneng.2018.10.023
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. - doi:10.1016/j.ress.2016.11.017
COWI, 2008. Risk Analysis Sea trafic Area around Bornholm.
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. - doi:10.1017/S0373463317000157
Degré, T., Lefèvre, X., 1981. A Collision Avoidance System. Journal of Navigation 34 (02), 294-302. - doi:10.1017/S0373463300021408
Fiorini, P., Shiller, Z., 1998. Motion planning in dynamic environments using velocity obstacles. The International Journal of Robotics Research 17 (7), 760-772. - doi:10.1177/027836499801700706
Fujii, Y., Shiobara, R., 1971. The Analysis of Traffic Accidents. Journal of Navigation 24 (04), 534-543. - doi:10.1017/S0373463300022372
Fujii, Y., Tanaka, K., 1971. Traffic Capacity. Journal of Navigation 24 (04), 543-552. - doi:10.1017/S0373463300022384
Huang, Y., van Gelder, P., Mendel, M.B., 2017. Imminent ships collision risk assessment based on velocity obstacle. - doi:10.1201/9781315374987-105
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. - doi:10.1016/j.oceaneng.2018.01.001
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.
Lenart, A.S., 1983. Collision Threat Parameters for a New Radar Display and Plot Technique. Journal of Navigation 36 (3), 404-410. - doi:10.1017/S0373463300039758
Li, S., Meng, Q., Qu, X., 2012. An overview of maritime waterway quantitative risk assessment models. Risk Anal 32 (3), 496-512. - doi:10.1111/j.1539-6924.2011.01697.x
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. - doi:10.1017/S0373463314000939
Macduff, T., 1974. The probability of vessel collisions. Ocean Industry 9 (9).
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. - doi:10.1016/j.oceaneng.2011.12.006
Montewka, J., Hinz, T., Kujala, P., Matusiak, J., 2010. Probability modelling of vessel collisions. Reliability Engineering & System Safety 95 (5), 573-589. - doi:10.1016/j.ress.2010.01.009
Pedersen, P.T., 1995. Collision and grounding mechanics. Proceedings of WEMT 95 (1995), 125-157.
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. - doi:10.1016/j.oceaneng.2018.07.041
Szlapczynski, R., Szlapczynska, J., 2016. An analysis of domain-based ship collision risk parameters. Ocean Engineering 126, 47-56. - doi:10.1016/j.oceaneng.2016.08.030
Wang, N., 2010. An Intelligent Spatial Collision Risk Based on the Quaternion Ship Domain. Journal of Navigation 63 (4), 733-749. - doi:10.1017/S0373463310000202
Ylitalo, J., 2010. Modelling marine accident frequency, Alto University School of Scence and Technology Faculty of Information and Natural Science.
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), 1117-1132. - doi:10.1017/S0373463317000212
Citation note:
Chen P.F., van Gelder P., Mou J.M.: Integration of Elliptical Ship Domains and Velocity Obstacles for Ship Collision Candidate Detection. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 4, doi:10.12716/1001.13.04.07, pp. 751-758, 2019

Other publications of authors:

File downloaded 459 times

Important: cookie usage
The website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony