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Artificial forces for virtual autonomous ships with encountering situations in restricted waters

机译:虚拟自治船舶的人工力量,遇到受限制水域的情况

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Even if the same two ships operate in the same encountering situation, the actual strategies and timing of operations may be different. Therefore, the fixed collision avoidance trajectory and ship movements are no longer suitable for simulating the real ship behaviour. This paper tries to develop an artificial intelligent system that fully sensitive to the local circumstances and command a ship in virtual environment. Based on AIS (Automatic Identification System) data, this study has developed artificial forces which help decision makings on-board independently under different situations and catching the stochastic nature of ship behaviours during collision avoidances manoeuvring. Actual ship tracks are helpful for ascertaining the parameters that contribute to artificial forces in collision avoidances, while the correlation coefficient analysis is helpful to distinguish the parameters. This study will help to develop a navigation traffic simulation to reflect the realistic ship behaviour and provide reliable information for port and waterway planning, risk analysis, and mitigation measures. The method can be used in developing algorithms for autonomous ships. The method introduced in this study lays a foundation for developing artificial forces at intersections or bends, although the model is only applicable in straight channels at the moment.
机译:即使同样的两个船舶在同一遇到情况下运行,运营的实际策略和时序也可能不同。因此,固定碰撞避免轨迹和船舶运动不再适合模拟真实船舶行为。本文试图开发一个人工智能系统,对本地情况完全敏感,并在虚拟环境中命令船舶。基于AIS(自动识别系统)数据,该研究开发了人工力,从而在不同情况下独立地帮助决策,并在碰撞避免机动过程中捕获船舶行为的随机性质。实际船舶轨道有助于确定有助于避免碰撞中的人工力的参数,而相关系数分析有助于区分参数。本研究将有助于开发导航流量模拟,以反映现实船舶行为,并为港口和水路规划,风险分析和缓解措施提供可靠的信息。该方法可用于开发自主船舶的算法。本研究中介绍的方法为在交叉点或弯曲处开发人工力的基础,尽管该模型目前仅适用于直线通道。

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