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[1]刘颖俪,胡明华,苏佳明,等.基于多目标优化的机场机坪管制区域划分方法研究*[J].中国安全生产科学技术,2023,19(8):150-156.[doi:10.11731/j.issn.1673-193x.2023.08.022]
　LIU Yingli,HU Minghua,SU Jiaming,et al.Division method of airport apron control areas based on multi-objective optimization[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(8):150-156.[doi:10.11731/j.issn.1673-193x.2023.08.022]
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基于多目标优化的机场机坪管制区域划分方法研究*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
19
期数:
2023年8期
页码:
150-156
栏目:
职业安全卫生管理与技术
出版日期:
2023-08-31

文章信息/Info

Title:
Division method of airport apron control areas based on multi-objective optimization
文章编号:
1673-193X(2023)-08-0150-07
作者:
刘颖俪1; 胡明华1; 苏佳明1; 尹嘉男1; 王晓真2
（1.南京航空航天大学 民航学院，江苏 南京 211106；
2.南京航空航天大学 航天学院，江苏 南京 211106）
Author(s):
LIU Yingli1;  HU Minghua1;  SU Jiaming1;  YIN Jia’nan1;  WANG Xiaozhen2
(1.College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 211106,China;
2.College of Astronautics,Nanjing University of Aeronautics and Astronautics,Nanjing Jiangsu 211106,China)
关键词:
航空运输; 空中交通管理; 多目标优化; 机坪管制区域; 加权Voronoi图
Keywords:
air transportation;  air traffic management;  multi-objective optimization;  apron control area;  weighted Voronoi diagram
分类号:
V355；X951
DOI:
10.11731/j.issn.1673-193x.2023.08.022
文献标志码:
A
摘要:
为均衡各机坪管制区域间的交通复杂度以及管制员工作负荷，以航空器机坪安全运行为出发点，依据交通复杂度、管制员工作负荷、区域划分结构指标以及优化建模理论划分机场机坪管制区域，利用基于加权Voronoi图生成的坪移交区域划分模型生成初始场面区域，建立机坪管制区域优化划分模型的目标函数和约束条件，并基于实际机场运行数据进行实例验证。研究结果表明：管制区域优化划分数目为2时，对比东、西管制区域划分方案，优化后的划分方案其机坪交通复杂度减小36%，机坪管制员工作负荷减小25.9%，管制区域紧密性指标小于0.5，采取优化方案之后的机坪管制区域交通复杂度及管制员工作负荷更为均衡。研究结果对于提升机场机坪运行的安全性能具有重要意义。
Abstract:
In order to balance the traffic complexity and controller workload among different apron control areas,the airport apron control areas were divided according to the traffic complexity,controller workload,structural indexes of area division,and optimization modeling theory based on the safe operation of aircraft apron.The weighted Voronoi diagram model was used to generate the initial airport ground area,then the objective function and constraint conditions of the optimal division model of apron control areas were established,and the real operation data of Shenzhen Airport was used to verify the model.The results show that when the division number of optimized control areas is 2,the traffic complexity of the apron is reduced by 36%,and the workload of the apron controller is reduced by 25.9% when comparing the divided east and west control areas of this airport.The tightness index of the control area is less than 0.5,and the traffic complexity and controller workload of the apron control areas are more balanced after adopting the optimization scheme.The research results are of great significance for improving the safety performance of airport apron operation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2023-03-20
* 基金项目： 国家自然科学基金项目 (52002178)；江苏省自然科学基金项目 (BK20190416)
作者简介： 刘颖俪，硕士研究生，主要研究方向为交通运输规划与管理、机场规划管理与评估。
通信作者： 尹嘉男，博士，主要研究方向为机场规划管理与评估、空中交通流量管理、通航与无人机空管、航空运输数据科学。
更新日期/Last Update: 2023-09-07