基于历史航次信息的船舶典型轨迹

Method for Extracting Typical Ship Track According to Historical Navigation Data

摘要: 为提高船舶导航系统对航行经验的感知能力、学习能力和自适应能力,进而提高导航系统的实用性和可靠性。根据海上交通工程理论,建立船舶运动轨迹模型,并通过引入用于评估轨迹特征的轨迹参数,构建基于遗传算法(Genetic Algorithm, GA)的船舶典型轨迹适应度函数,提出从历史航次信息中获取有向的船舶运动的典型轨迹的方法。以运用上海—深圳航线为实例,通过GA,从相应历史航次信息中获取船舶从上海—深圳的典型轨迹,结果表明:该典型轨迹的获取方法具备一定的准确性。

Abstract: Ship motion model is constructed according to the theory of marine traffic engineering and feature parameters of ship track are defined. The fitness function for typical ship track is constructed based on GA（Genetic Algorithm）. The method for extract typical ship track from historical navigation data is devised. The method is verified through processing actual data of Shanghai-Shenzhen line.