This paper is a continuation of papers dedicated to a radar-based CTPA (Collision Threat Parameters Area) display designed to support safe manoeuvre selection. The display visualizes all the ships in an encounter and presents situational overview from the own ship's point of view. It calculates and displays information on unsafe or unrealistic own ship's course & speed allowing a user to select a safe manoeuvre. So far only the manual selection was possible, thus the paper aims at presenting a heuristic approach towards the manoeuvre selection when using the display.
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The paper introduces a new approach to solving multi-ship encounter situations by combining some of the assumptions of game theory with evolutionary programming techniques. A multi-ship encounter is here modelled as a game played by “thinking players” – the ships of different and possibly changing strate-gies. The solution – an optimal set of cooperating (non-colliding) trajectories is then found by means of evo-lutionary algorithms. The paper contains the description of the problem formulation as well as the details of the evolutionary program. The method can be used for both open waters and restricted water regions.
The paper introduces a visualization method that enables the navigator to estimate an encounter situation and choose collision avoidance manoeuvre if necessary. It is based on the CTPA method and offers new features: fuzzy sectors of forbidden speed and course values and the possibility to use any given ship domain. The method is fast enough to be applied in the real-time decision-support system.
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