点融合系统航班进场排序优化元胞自动机模型
Cellular automata for optimizing aircraft arrival sequencing in point merge system
夏正洪 1方鹏越 1王楚皓 1吴红洪1
作者信息
- 1. 中国民用航空飞行学院空中交通管理学院,四川广汉 618307
- 折叠
摘要
针对点融合系统中航班调度问题,构建航班进场排序的二维元胞自动机模型,模拟先来先服务(first come first service,FCFS)和滑动窗口(sliding window,SDW)策略下的航班排序过程,对比不同策略下的终端区运行效率.实验结果表明:若都采用FCFS,使用中国民航航空器尾流重新分类标准(RECAT-CN)代替现行尾流间隔,进场航班流在点融合系统中的总运行时间减少了 98 s,运行效率提升了 4.3％;若都使用RECAT-CN间隔标准,采用SDW优化后的航班进场序列,较FCFS的总运行时间减少了 193 s,运行效率提升了 8.5％;点融合技术和RECAT-CN间隔标准可以实现终端区运行安全和效率的同步提升.
Abstract
To optimize real-time aircraft arrival scheduling in point merge system,a 2D cellular automata(CA)model of aircraft arrival scheduling in point merge system was constructed.Besides,a simulation running scenario was established to simulate the aircraft sequencing process under first-come,first-serve(FCFS)policy and sliding window(SDW)policy,and the running efficiency of different strategies was compared.The following results were obtained.If FCFS strategy is adopted and the separa-tion standard of RECAT-CN is used to replace the current wake turbulence separation,the total running time of incoming aircraft in the point merge system is reduced by 98 s,and the running efficiency is increased by 4.3％.If the separation standard of RECAT-CN is used,the aircraft arrival sequencing optimized using SDW strategy reduces the total running time by 193 s and improves the running efficiency by 8.5％relatively to FCFS strategy.It is verified that the point merge technology and the sepa-ration standard of RECAT-CN can synchronously improve the running safety and efficiency of terminal areas by optimizing aircraft arrival scheduling in point merge system.
关键词
点融合系统/航空器进场排序/中国民航航空器尾流重新分类/元胞自动机/遗传算法/机场终端区/运行效率Key words
point merge system/arrival sequencing/RECAT-CN/cellular automata/genetic algorithm/airport terminal area/operating efficiency引用本文复制引用
基金项目
四川省科技计划基金项目(2022YFG0196)
高校基本科研基金项目(J2023-046)
四川省大学生创新创业训练基金项目(S202210624120)
中国民用航空飞行学院研究生科研创新基金项目(X2023-44)
出版年
2024
NETL
NSTL
万方数据