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
Classifying Ship Encounters to Monitor Traffic Safety on the North Sea from AIS Data
1 Maritime Research Institute Netherlands (MARIN), Wageningen, The Netherlands
ABSTRACT: In studies for the Dutch Ministry of Infrastructure and the Environment, MARIN has developed methods to classify ship encounters on the North Sea from AIS data. The methods use the Distance at Closest Point of Approach (DCPA), Time to Closest Point of Approach (TCPA), and an estimate of ship domains, to determine for each crossing, head-on, and overtaking encounter, whether these follow abnormal patterns. On august 1 2013, the route structure on the North Sea, was rearranged to improve safety and efficiency. The encounter classification methods were applied to two years of AIS data. Heat maps of encounters show how the junctions have shifted. For these junctions, the numbers of encounters were compared. This paper discusses the methods to classify encounters, and the results of the comparison of the route structures. The results show a decrease of the number of exceptional head-on and crossing encounters in the new route structure.
Koldenhof, Y., Tak, C. van der & Glansdorp, C.C. 2009. Risk Awareness; a model to calculate the risk of a ship dynamically. Proceedings of “XIII International Scientific and Technical Conference on Marine Traffic Engineering”, 112-119.
Tak, C. van der & Jong, J.H. de. 1996. Safety Management Assessment Ranking Tool (SMART). 8th International Symposium on Vessel Traffic Services.
Citation note:
van Iperen W.H.: Classifying Ship Encounters to Monitor Traffic Safety on the North Sea from AIS Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 9, No. 1, doi:10.12716/1001.09.01.06, pp. 51-58, 2015

File downloaded 1261 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