AIS数据在航海模拟器交互训练中的应用
发布时间：2018-11-14 19:07
【摘要】：通过对新加坡海峡内航行船舶的AIS历史数据进行统计,提出一种元胞自动机的船舶交互仿真模型,应用于新加坡海峡各航段的交通流的交互状况进行模拟。并采用蒙特卡洛随机事件,结合新加坡海峡AIS历史数据按照统计学原理生成不同类型、不同航行速度的船舶,提取船舶驾驶员在不同航行环境下采取的避让措施。对海员在狭水道和繁忙水域的船舶交互避让提供参考依据,同时也对提高模拟器训练与航海实践的仿真度具有重要意义。
[Abstract]:Based on the statistics of the AIS historical data of ships navigating in the Singapore Strait, a cellular automata model of ship interaction simulation is proposed, which is applied to simulate the interaction of traffic flow in various sections of the Singapore Strait. Monte Carlo random events and AIS historical data of Singapore Strait are used to generate different types of ships with different navigation speeds according to the statistical principle. The measures taken by ship pilots in different navigation environments are extracted. It provides a reference for seafarers to avoid ship interaction in narrow waterways and busy waters, and it is also of great significance to improve the simulation degree of simulator training and navigation practice.
【作者单位】： 大连海事大学航海学院;
【基金】：山东省海事局调查专家技术服务资助项目(80815007-92) 马六甲新加坡海峡航行安全风险研究资助项目(891306)
【分类号】：U666.158
[Abstract]:Based on the statistics of the AIS historical data of ships navigating in the Singapore Strait, a cellular automata model of ship interaction simulation is proposed, which is applied to simulate the interaction of traffic flow in various sections of the Singapore Strait. Monte Carlo random events and AIS historical data of Singapore Strait are used to generate different types of ships with different navigation speeds according to the statistical principle. The measures taken by ship pilots in different navigation environments are extracted. It provides a reference for seafarers to avoid ship interaction in narrow waterways and busy waters, and it is also of great significance to improve the simulation degree of simulator training and navigation practice.
【作者单位】： 大连海事大学航海学院;
【基金】：山东省海事局调查专家技术服务资助项目(80815007-92) 马六甲新加坡海峡航行安全风险研究资助项目(891306)
【分类号】：U666.158
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