Skip to the main content

Preliminary communication

Model of Optimal Collision Avoidance Manoeuvre on the High Seas to Improve Safety at Sea

Jelenko Švetak ; Faculty of Maritime Studies and Transportation,University of Ljubljana, Slovenia


Full text: english pdf 4.358 Kb

page 1-7

downloads: 937

cite


Abstract

Collision of ships is the most frequent accident in modern navigation. Provision of up-to-date navigational equipment does not automatically mean fewer collisions. As a matter of fact, there are more collisions because the number of vessels is constantly increasing. Due to the increased traffic density vessels meet at shorter distances, so they have very little time and space left for appropriate collision avoidance manoeuvre.
The Collision Avoidance Rules themselves do not represent sufficient guarantee to avoid collisions, since the researches made in the human factor showed that 10 % of all collisions were caused by non compliance with the Rules and 90 % by other human errors. Furthermore, collisions are basically not caused by inadequate interpretations of the Rules, but above all, by wrong interpretations of the situations taking place at sea. This is the consequence of insufficient training on RADAR and Automatic Radar Plotting Aids, and particularly of misinterpretation of the results of radar plotting procedures. Generally all accidents of ships can be divided into two basic categories. First, accidents in which measures for damage control should be taken immediately, and second, those which require a little more patient reaction. And the fact that collisions belong to the first category has encouraged writing of the current paper. The proposed model of optimal collision avoidance manoeuvre. of ships on the basis of electronic data collection was made by means of the navigation simulator NTPRO – 5000.

Keywords

Safety at Sea; Collision Avoidance System; Starting Point of Collision Avoidance Manoeuvre

Hrčak ID:

104441

URI

https://hrcak.srce.hr/104441

Publication date:

28.6.2013.

Visits: 1.821 *