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4D Trajectory Prediction of Aircraft Taxiing Based on Fitting Velocity Profile

机译:基于拟合速度剖面的飞机滑行的4D轨迹预测

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摘要

To improve the overall efficiency and comprehensive support capability of airports, a method of predicting 4D taxiing-trajectory for aircraft on airport surface based on fitting velocity profile is proposed. Firstly, the dynamic model of aircraft taxiing is built, and the concept of nominal velocity profile is introduced. Secondly, DSW algorithm is applied to generate a nominal velocity profile. Furthermore, the average velocity modification parameters are calculated to update taxiing velocity, which is influenced by different aircraft types. According to mapping between nominal velocity and instantaneous velocity based on the dynamic equilibrium equation, instantaneous velocity is updated combining with BADA data. Finally, aircraft taxiing 4D trajectory prediction is achieved. It can more accurately predict arriving aircraft at given position and reduce conflict. Case studies demonstrates that this method reduces 47.3% of the average error between estimated time and actual time when compared with the competing methods based on dynamic models.
机译:为了提高机场的整体效率和综合保障能力,提出了一种基于拟合速度剖面的飞机在飞机表面的4D滑行轨迹预测方法。首先,建立了飞机滑行的动力学模型,并介绍了标称速度分布的概念。其次,将DSW算法应用于生成标称速度曲线。此外,计算平均速度修改参数以更新滑行速度,滑行速度受不同飞机类型的影响。根据基于动平衡方程的标称速度与瞬时速度之间的映射,结合BADA数据更新瞬时速度。最终,实现了飞机滑行的4D轨迹预测。它可以更准确地预测到达飞机的给定位置并减少冲突。案例研究表明,与基于动态模型的竞争方法相比,该方法可将估计时间与实际时间之间的平均误差降低47.3%。

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