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Beam Search Algorithm for Ship Anti-Collision Trajectory Planning

机译:船舶防撞轨迹规划梁搜索算法

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摘要

The biggest challenges in the maritime environment are accidents and excessive fuel consumption. In order to improve the safety of navigation at sea and to reduce fuel consumption, the strategy of anti-collision, shortest trajectory planning is proposed. The strategy described in this paper is based on the beam search method. The beam search algorithm (BSA) takes into account many safe trajectories for the present ship and chooses the best in terms of length and other criteria. The risk of collision of present ship with any target ships is detected when the closest point of approach (CPA) of the present ship is violated by the target ship’s planned trajectory. Only course alteration of the present ship is applied, and not speed alteration. The algorithm has been implemented in the decision support system NAVDEC and tested in a real navigation environment on the m/f Wolin, a Polish ferry. Almost all BSA trajectories calculated were shorter in comparison to the standard NAVDEC-calculated algorithm.
机译:海事环境中最大的挑战是事故和过度的燃料消耗。为了提高海上航行的安全和减少燃料消耗,提出了抗碰撞策略,提出了最短的轨迹规划。本文描述的策略基于光束搜索方法。光束搜索算法(BSA)考虑到本船舶的许多安全轨迹,并在长度和其他标准方面选择最佳。当目标船舶计划的轨迹违反当前船舶的最近的接近点(CPA)时,检测到与任何目标船舶的碰撞风险。仅应用当前船舶的课程改变,而不是速度改变。该算法已经在决策支持系统Navdec中实现,并在M / F Wolin的真实导航环境中进行测试,该渡轮渡轮。与标准NavDec计算算法相比,计算的几乎所有计算的BSA轨迹都较短。

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