基于BP网络的空中交通管制运行品质评价

摘要

为改善空中交通管制运行品质综合评价方法,建立了包括空中交通流密度、运行安全性能、运行效率性能及管制员工作负荷的通用评价指标体系；基于BP(back propagation)网络模型给出了运行品质分类评价的人工智能方法.针对成都终端管制区域平行双跑道隔离运行模式,采集60个典型样本进行网络训练测试,确立了拓扑结构为12-7-5型的BP网络模型,并应用于对40个检验样本的分类评价.经与主成分分析法比对,2种综合评价方法所得出的评价结果基本一致.%To improve the integrated evaluation on the operation performance of air traffic control,a general index system was established,including density of air traffic flow,safety performance,efficiency performance and workload of air traffic controller,and a classification evaluation method by means of artificial intelligence was presented on the basis of back propagation network model.Taking the Chengdu terminal area for example,under the condition of segregated operation on two parallel runways,a BP network model of 12-7-5 in topology was set up after 60 typical samples were collected for network training and test,and applied for classification evaluation for 40 exam samples.In comparison with another integrated evaluation method based on principal component analysis,both of the evaluation results were in agreement.