基于航迹预测的复杂点融合系统航班排序研究
Flight Sequencing Study on Complex Point Merge System Based on Trajectory Prediction
朱承元 1管建华 1张澈1
作者信息
- 1. 中国民航大学空中交通管理学院,天津 300300
- 折叠
摘要
为了提高复杂点融合系统的运行效率,对复杂点融合系统的航班排序问题进行了研究.通过BADA性能数据库对航班进行航迹预测,充分考虑了系统外的冲突对点融合系统排序的影响.以进场航班的点融合系统内飞行时间最小为目标,以安全运行间隔为约束条件,使用改进蝴蝶优化算法进行优化,并使用TAAM仿真软件进行仿真验证.经大量仿真,整体优化率在 30%左右波动,证明了排序优化模型的鲁棒性和适用性,为点融合系统排序优化方面的研究提供了新思路.
Abstract
In order to improve the operational efficiency of complex point merge systems,the flight sequencing problem of complex point fusion systems was investigated.The impact of conflicts outside the system on the sequencing of the point merge system was fully considered by using the BADA performance database for flight track prediction.With the objective of minimizing the flight time within the point merge system for incoming flights and the safe operat-ing interval as the constraint,the optimization was carried out using an improved butterfly optimization algorithm and validated by simulation using TAAM simulation software.After extensive simulation experiments,the overall optimiza-tion rate fluctuates around 30%,which proves the robustness and applicability of the ranking optimization model and provides a new idea for the research on the ranking optimization of point fusion systems.
关键词
空中交通管制/点融合系统/仿真优化/航迹预测/蝴蝶优化算法Key words
Air traffic control/Point merge system/Simulation optimization/Track prediction/Butterfly optimization algorithm引用本文复制引用
基金项目
国家自然科学基金(62173332)
工信部民用飞机专项(MJ-2020-S-03)
出版年
2024
NETL
NSTL
万方数据