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A Method for Determining the Safe Separation from the Taxiway to the Fixed Object Based on the Distribution Characteristics of the Taxiing Trajectory

机译:一种方法,用于基于滑行轨迹的分布特性确定从滑行道到固定对象的安全分离

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The determination of safe separation of aircraft taxiway is the focus of airport graphic design. This paper proposes a method to determine safe separation from the perspective of assessing the risk of aircraft taxiing deviation. By analyzing the deviation distribution characteristics of aircraft taxiing, applying the test data of taxiway deviation provided in relevant reports, the threshold μ is determined based on extreme value theory and generalized Pareto distribution (GPD), and on the basis of sorting out the influencing factors of taxiway deviation, the deviation probability model of taxiway is established by means of logistic regression and least square method. Finally, taking the taxiway to a fixed object separation of Chicago O'Hare International Airport as an example, the risk matrix and the model are used to evaluate the risk, and the more secure separation and the restrict conditions of taxiing are put forward, thus providing a theoretical basis for the determination of the safe taxiway to fixed object separation.
机译:飞机滑行道安全分离的决定是机场图形设计的重点。本文提出了一种从评估飞机出租偏差的风险的角度来确定安全分离的方法。通过分析飞行器的偏差分布特性,应用相关报告中提供的滑行道偏差的测试数据,基于极值理论和广义帕匹官分布(GPD)确定阈值μ,并在分类影响因素的基础上确定通过滑行道偏差,通过逻辑回归和最小二乘法建立滑行道的偏差概率模型。最后,将滑行道固定在芝加哥O'Hare国际机场的固定物体分离为例,风险矩阵和该模型用于评估风险,并提出了更安全的分离和限制条件,因此提出了更安全的分离和限制条件为确定固定物体分离的安全滑行道提供理论依据。

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