基于点融合的进场程序优化与航空器排序研究*

doi:10.16265/j.cnki.issn 1003-3033.2021.12.007

中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (12): 45-52.doi: 10.16265/j.cnki.issn 1003-3033.2021.12.007

基于点融合的进场程序优化与航空器排序研究^*

白鹏¹ 高级实验师, 陈霖峰¹, 王玺², 龚宇¹, 蒋淞榕³, 周勍琪¹

1 中国民航大学空中交通管理学院,天津 300300;
2 中国民用航空局山东空管分局,山东济南 250105;
3 航大重工(天津)有限公司,天津 300300

收稿日期:2021-09-20 修回日期:2021-11-12 出版日期:2021-12-28 发布日期:2022-06-28
作者简介:白鹏 (1984—),男,河北张家口人,硕士,高级实验师,科研方向为交通运输、人工智能、人为因素。E-mail:342126260@qq.com。
基金资助:
国家重点研发计划课题资助(2020YFB1600101);国家自然科学基金资助(71801215);天津市教委项目。

Research on arrival procedure optimization and aircraft sequencing based on point merging

BAI Peng¹, CHEN Linfeng¹, WANG Xi², GONG Yu¹, JIANG Songrong³, ZHOU Qiongqi¹

1 Air Traffic Management College, Civil Aviation University of China, Tianjin 300300, China;
2 Shandong Air Traffic Management Sub-Bureau, Civil Aviation Administration of China, Ji'nan Shandong 250105, China;
3 Hangda Heavy Industry (Tianjin) Co., Ltd., Tianjin 300300, China

Received:2021-09-20 Revised:2021-11-12 Online:2021-12-28 Published:2022-06-28

摘要/Abstract

摘要： 为解决终端区航空器延误问题,使用点融合技术优化终端区进场程序,以飞行冲突次数、航空器平均延误时间、航空器着陆次序改变量、航空器平均油耗作为评价指标,建立着陆优化排序模型,结合我国空管使用的间隔标准与天津机场终端区的真实空域数据,根据实际飞行数据设计航空器样本,使用改进的遗传算法对航空器着陆进行排序,并对使用点融合技术之后的天津机场终端区进场航空器排序进行仿真验证。结果表明:使用该方法后,航空器无冲突,平均延误时间缩减57.19%,延误架次减少7架次,平均燃油消耗节约0.64%。

关键词: 点融合, 终端区, 航空器排序, 进场程序, 遗传算法

Abstract: In order to solve aircraft delay in terminal areas, arrival procedure were optimized by using point merging technology, and a landing optimization scheduling model was established with number of aircraft conflict, average aircraft delay time, aircraft landing sequence changes and average fuel consumption as evaluation indexes. Then, based on interval standard of China's air traffic control office and real airspace data of Tianjin airport terminal area, aircraft samples were designed, their landing sequence was calculated by adopting the improved genetic algorithm. Finally, aircraft's arrival routes in Tianjin airport terminal area after using point merging were verified. The results show that with the use of this method, there will be no aircraft conflict, average delay time is reduced by 57.19% while delayed sorties are reduced by 7, and moreover, average fuel consumption is saved by 0.64%.

Key words: point merging, terminal area, aircraft sequencing, arrival procedure, genetic algorithm

中图分类号:

X949

白鹏, 陈霖峰, 王玺, 龚宇, 蒋淞榕, 周勍琪. 基于点融合的进场程序优化与航空器排序研究^*[J]. 中国安全科学学报, 2021, 31(12): 45-52.

BAI Peng, CHEN Linfeng, WANG Xi, GONG Yu, JIANG Songrong, ZHOU Qiongqi. Research on arrival procedure optimization and aircraft sequencing based on point merging[J]. China Safety Science Journal, 2021, 31(12): 45-52.

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基于点融合的进场程序优化与航空器排序研究^*

Research on arrival procedure optimization and aircraft sequencing based on point merging

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