摘要
为提升离场航空器在廊桥推出时机的控制精度,减少航空器在地面滑出等待时间和燃油消耗,有效缓解机场地面拥堵,提出一种航空器地面滑出时间的计算方法。基于首都机场运行数据,首先使用最小二乘法寻找样本数据区间的分段点,并对其进行分割和选取,然后针对1号停机位区域的离场航空器,使用正交距离回归算法和多元线性拟合法分别建立了不同机型的畅通滑出时间和拥堵滑出时间的数学模型,最后用相同机位的实际运行数据进行检验,结果表明:停靠1号机位区的重型机和中型机畅通滑出时间的预测误差率分别为15.02%和13.59%,拥堵滑出时间的预测误差率分别为11.55%和10.89%,说明最小二乘法比之前使用的拟合斜率法更优,使重型机和中型机的畅通滑出时间预测误差率分别下降了1.71%和1.42%。
In order to improve the accuracy of the push back time control for departing aircraft, reduce the taxi out waiting time and fuel consumption of aircraft, and effectively alleviate the airport ground congestion, a method for calculating aircraft taxi out time is proposed. Based on the operation data of Beijing capital airport. Firstly, the least square method was used to find the segment point of the sample data interval. And then orthogonal distance regression algorithm and multivariate linear regression algorithm were used to establish the mathematical models of unimpeded and impeded taxi out time for different aircraft models parking on No.1 apron area. Finally, the models were tested by using practical operation data of same gates. The results show that: the prediction error rates of unimpeded taxi out time for heavy and medium aircraft on No.1 apron are 15.02% and 13.59% respectively, and 11.55% and 10.89% for impeded taxi out time respectively, indicating that the least square method is better than the fitting slope method used before, and the predicted error rate of unimpeded taxi out time of heavy and medium aircraft decreases by 1.71% and 1.42% respectively.
作者
周建
赵嶷飞
王同乐
姜文娟
ZHOU Jian;ZHAO Yi-fei;WANG Tong-le;JIANG Wen-juan(Air Traffic Management College,Civil Aviation University of China,Tianjin 300300,China;Public Area Management Department,Beijing Capital International Airport Co.,Ltd.,Beijing 100621,China)
出处
《计算机仿真》
北大核心
2022年第1期66-70,共5页
Computer Simulation
基金
中央高校基本科研业务费专项基金(3122017065)
科技部国家重点研发计划课题(2016YFB0502401)
天津市自然科学基金课题(18JCQNJC04300)。
关键词
地面拥堵
畅通滑出时间
拥堵滑出时间
最小二乘法
Ground congestion
Unimpeded taxi out time
Impeded taxi out time
Least square method
