The wider use of electronic devices in shipping has led to the introduction of new navigation control systems and decision support tools for collision avoidance. The application of these systems improves the data utilisation and allows for the prediction of ship's performance in various operational conditions. In this study, a decision support methodology for collision avoidance of ocean going vessels is developed, taking into account both the ship's manoeuvrability and propulsion system performance whilst employing a new formulation for the estimation of the collision probability indicator. An integrated model that simulates the ship's manoeuvrability and propulsion system performance is employed to predict the required ship's hull and propulsion plant dynamic response. The integrated model couples a 3-DOF manoeuvring model with a mean value engine model, providing a fast but accurate prediction of ship and her propulsion system characteristics during specific manoeuvring scenarios. The derived ship trajectories populate a database that is employed as input to the developed decision support for investigating various encounter situations depending on the target ship's initial position, approach angle, trajectory and speed. The developed decision support provides the collision probability indicator as function of the ordered rudder angle and engine speed as the available control options to avoid the collision. This study provides support to the officer of the watch to make decisions on the ship and propulsion system control parameters during encountering situations, thus contributing to the safer maritime operations.

电子设备在船运中的广泛使用导致引入了新的导航控制系统和决策支持工具来避免碰撞。这些系统的应用提高了数据利用率，并可以预测各种操作条件下的船舶性能。在这项研究中，考虑到船舶的可操纵性和推进系统的性能，同时采用一种新的公式来估计碰撞概率指标，开发了一种避免远洋船舶发生碰撞的决策支持方法。使用模拟船的可操纵性和推进系统性能的集成模型来预测所需的船体和推进装置动态响应。集成模型将3-DOF操纵模型与均值引擎模型结合在一起，可以在特定操纵场景下快速而准确地预测船舶及其推进系统的特性。派生的船舶轨迹填充一个数据库，该数据库用作开发的决策支持的输入，用于根据目标船的初始位置，进近角，轨迹和速度调查各种遭遇情况。开发的决策支持将碰撞概率指标作为有序舵角和发动机转速的函数，作为避免碰撞的可用控制选项。这项研究为值班人员在遇到情况时做出有关船舶和推进系统控制参数的决策提供了支持，