基于多Agent的航空器拖曳规则优化配置方法研究

doi:10.16182/j.issn1004731x.joss.21-0197

系统仿真学报 ›› 2022, Vol. 34 ›› Issue (1): 113-125.doi: 10.16182/j.issn1004731x.joss.21-0197

基于多Agent的航空器拖曳规则优化配置方法研究

赵征¹, 胡莉¹, 钱媛媛², 金辉¹, 贾爱萍²

1.南京航空航天大学民航学院,江苏南京 211106;
2.首都机场集团公司北京大兴国际机场,北京 102600

收稿日期:2021-03-11 修回日期:2021-04-23 出版日期:2022-01-18 发布日期:2022-01-14
通讯作者: 胡莉(1996-),女,硕士生,研究方向为交通运输规划与管理。E-mail：meili_hu@nuaa.edu.cn
作者简介:赵征(1978-)，男，博士，讲师，硕导，研究方向为空域与机场运行评估和优化。E-mail：zheng_zhao@nuaa.edu.cn
基金资助:
南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20200709)

Research on Optimal Allocation Method of Aircraft Towing Rules Based on Multi-agent

Zhao Zheng¹, Hu Li¹, Qian Yuanyuan², Jin Hui¹, Jia Aiping²

1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
2. Capital Airport Group Corporation, Beijing Daxing International Airport, Beijing 102600, China

Received:2021-03-11 Revised:2021-04-23 Online:2022-01-18 Published:2022-01-14

摘要/Abstract

摘要： 为研究航空器拖曳规则对于机场靠桥率和航班正常性的作用并优化,提出了基于场面供需平衡的拖曳规则配置方法。通过构建基于场面运行的多agent离散仿真模型,提高了机场靠桥率和航班正常性的协同优化效果,以北京大兴国际机场为例进行实例验证。结果表明：基于场面供需平衡的拖曳规则配置方法可以显著提升机场靠桥率和航班正常性,可以为机场运行部门提供决策参考。

关键词: Agent模型, 航班延误, 靠桥率, 拖曳规则

Abstract: In order to study and optimize the effect of aircraft towing rules on aircraft on bridge rate and flight normality, a towing rule configuration method based on surface capacity and demand balance is proposed. By constructing a multi-agent discrete simulation model based on surface operation, the collaborative optimization effect of aircraft on bridge rate and flight regularity is achieved, and which is verified by the example of Beijing Daxing International Airport. The results show that the towing rule configuration method based on airfield capacity and demand balance can obviously improve the aircraft on bridge rate and flight normality, and can provide decision-making reference for the airport operation department.

Key words: Agent model, flight delay, bridge rate, drag rules

中图分类号:

TP391.9

赵征, 胡莉, 钱媛媛, 金辉, 贾爱萍. 基于多Agent的航空器拖曳规则优化配置方法研究[J]. 系统仿真学报, 2022, 34(1): 113-125.

Zhao Zheng, Hu Li, Qian Yuanyuan, Jin Hui, Jia Aiping. Research on Optimal Allocation Method of Aircraft Towing Rules Based on Multi-agent[J]. Journal of System Simulation, 2022, 34(1): 113-125.

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基于多Agent的航空器拖曳规则优化配置方法研究

Research on Optimal Allocation Method of Aircraft Towing Rules Based on Multi-agent

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