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基于随机森林的飞机长着陆预警方法
引用本文:孙瑞山,李重锋.基于随机森林的飞机长着陆预警方法[J].中国安全生产科学技术,2021,17(5):182-186.
作者姓名:孙瑞山  李重锋
作者单位:(1.中国民航大学 民航安全科学研究所,天津 300300;2.中国民航大学 经济与管理学院,天津 300300)
基金项目:作者简介: 孙瑞山,博士,教授,主要研究方向为民航安全管理、航空人因工程、飞行原理和飞机飞行性能。
摘    要:为降低飞机冲出跑道事故造成的人员伤亡和财产损失,以长着陆事件为研究对象,探讨1种有效的长着陆事件预警方法。提出应用随机森林模型对长着陆事件进行预警,给出模型的特征筛选、构建及评价方法,并使用实际飞行数据验证模型有效性。结果表明:基于随机森林的飞机长着陆预警模型精确率为88.41%,召回率为87.14%,模型可以有效对长着陆事件进行预警。

关 键 词:飞行安全  飞行数据  长着陆  随机森林  预警方法

Early-warning method of aircraft long landing based on random forest
SUN Ruishan,LI Chongfeng.Early-warning method of aircraft long landing based on random forest[J].Journal of Safety Science and Technology,2021,17(5):182-186.
Authors:SUN Ruishan  LI Chongfeng
Institution:(1.Research Institute of Civil Aviation Safety,Civil Aviation University of China,Tianjin 300300,China;2.Economics and Management College,Civil Aviation University of China,Tianjin 300300,China)
Abstract:In order to reduce the casualties and property losses caused by the runway overrun accident of aircraft,taking the long landing events as the research object,an effective early-warning method of long landing events was discussed.It was put forward to apply the random forest model to carry out the early-warning of long landing events,then the feature selection,construction and evaluation methods of the model were given.The effectiveness of the early-warning method of long landing events based on the random forest model was verified by the actual flight data.The results showed that the accuracy rate of the model was 87.14%,and the recall rate was 88.41%.The model can effectively warn the long landing events.
Keywords:flight safety  flight data  long landing  random forest  early-warning method
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