摘要
探讨了机场历史高峰服务能力评估中历史高峰运行数据的频率筛选阈值与样本基数的关联,在此基础上提出大数据样本的历史高峰服务架次评估方法,并以广州机场、上海浦东机场、上海虹桥机场、南京机场和大连机场的实际历史数据加以分析与验证。实验表明:历史高峰运行数据频率筛选阈值至少3次的选取,适用范围为1 460个左右的样本基数,所提出的大数据样本的历史高峰服务架次评估方法能够反映机场在常态运行环境下的高峰服务能力。
This paper explores the airport peak service rate assessment associated with the frequency of screening threshold and sample base,historical peak operating data presented historical peak service rate assessment large data samples on this basis,the actual historical data in Guangzhou Airport,Shanghai Pudong Airport,Shanghai Hongqiao Airport,Nanjing and Dalian Airport to be analyzed and verified. Experimental results show that： the historical peak operating data frequency filtering threshold at least three times the selection,the scope of the sample base of 1 460 or so,and the historical peak service rate assessment big data samples in this paper can reflect the airport peak service capabilities in a normal operating environment.
出处
《航空计算技术》
2015年第1期17-21,共5页
Aeronautical Computing Technique
基金
国家科技支撑项目资助(2011BAH24B08)
