基于空中交通运行水平的航季划分方法

Method of Flight Season Division Based on Operation Level of Air Traffic

为了优化航班时刻资源的配置,提高民航航班正常性,本文针对大范围空中交通运行水平下的航季划分方法进行了研究。利用动态时间规整算法分析空中交通运行效率指标的月度时间序列相似性,建立航季划分多目标优化模型,运用带精英策略的快速非支配排序遗传算法进行划分求解,并采用带熵值的TOPSIS法对帕累托解进行评价,给出了各划分角度下最优航季划分结果,并分析了不同空中交通运行水平下的航季划分结果及权值设定对结果的影响。结果表明,在综合考虑空中交通运行水平评价指标影响的情况下,随着权值的变动,各划分角度下最优航季划分结果稳定。本文所提出方法不仅适用于大范围空域环境的航季划分,同样适用于探索单个机场运行的航季模式,为民航局和机场科学制定航班计划提供依据。

In order to optimize the allocation of flight slot resources and improve the regularity of civil aviation flights,the method of season division under the level of large-scale air traffic operation is studied in this paper.The monthly time series similarity of air traffic operation efficiency index is analyzed by the dynamic time warping algorithm,an optimized flight season division model is established,and the fast non-dominant sorting genetic algorithm with elite strategy is used to solve the problem.The TOPSIS method with entropy is used to evaluate the Pareto solution,and the final flight season division results under different division angles are given.Then and the effects of season division results and weight setting on the results under different air traffic operation levels are analyzed.The results show that,in the case of comprehensively considering the influence of the evaluation index of air traffic operation level,the result of optimal flight season division is stable with the change of weight.The method proposed in this paper is not only suitable for the flight season division of large-scale airspace environment,but also suitable for exploring the flight season mode of individual airport operation,thus providing a means for the Civil Aviation Administration and the airport to make flight schedule scientifically.