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Merging Optimization Method Considering Minimum Time Separation Based on Wake Turbulence Category

机译:基于尾流分类的考虑最小时间间隔的合并优化方法

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To advance air traffic control, the merging optimization method has been studied. This method simultaneously optimizes the trajectory and sequence of the arrival aircraft while maintaining a sufficient time separation at the merging point to avoid wake turbulence. In this study, the minimum time separation based on the wake turbulence category is applied to the merging optimization method. The separation standards are stipulated by the wake turbulence category based on the sizes of the leading and following aircraft. Taking into account the wake turbulence category is one of the key techniques for implementing the merging optimization method in practical air traffic control. Numerical simulations are performed to show the validity of the proposed method. The simulation results are compared with those of the merging optimization method with a specified sequence to review the optimality of the proposed method. The simulation results show that the merging optimization method is capable of optimizing the merging trajectories considering the minimum time separation based on the wake turbulence category.
机译:为了促进空中交通管制,已经研究了合并优化方法。该方法同时优化了到达飞机的轨迹和顺序,同时在合并点保持足够的时间间隔以避免尾流。在这项研究中,将基于尾流湍流类别的最小时间间隔应用于合并优化方法。分离标准是由尾流湍流类别根据前,后飞机的尺寸规定的。考虑到尾流湍流类别是在实际空中交通管制中实施融合优化方法的关键技术之一。数值模拟表明了该方法的有效性。将仿真结果与具有指定序列的合并优化方法的仿真结果进行比较,以审查所提出方法的最优性。仿真结果表明,基于尾流湍流类别,融合优化方法能够在考虑最小时间间隔的情况下优化融合轨迹。

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