基于改进Agent的扇区划设方法研究
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南京航空航天大学 民航学院

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V355

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江苏省青年基金项目 (Grant No. BK20230892);江苏省双创博士人才项目 (Grant No. JSSCBS20220212)


Research on Improved Agent-Based Sectorization Method
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1.基金项目:江苏省青年基金项目 (Grant No. BK20230892);2.江苏省双创博士人才项目 (Grant No. JSSCBS20220212)

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    摘要:

    为解决传统基于主观经验人为划设的扇区所存在的空域资源分配不均问题,满足如今空中交通运行需求,通过改进Agent方法,研究终端区三维扇区划设问题。首先,在满足传统扇区划设约束条件下,以提高扇区同交通流适应性,降低并均衡管制负荷为目标;随后,通过使用遗传算法确定Agent初始解位置、设计优化Agent生长规则与空域填充规则的方式改进传统Agent方法;最后,以上海终端区内数据进行实例分析验证,结果表明:相比现行与传统Agent方法所得扇区划设方案,改进Agent方法能够分别提升25.84%、18.54%的扇区形状特征与空中交通流适应性;同时在降低终端区管制负荷总和基础上,可将各扇区间管制负荷标准差分别降低53.33%、36.58%。可见基于改进Agent的空域划设研究为我国本土特色化空域规划提供参考性意见。

    Abstract:

    In order to solve the problem of uneven allocation of airspace resources in traditional artificial sectors based on subjective experience, and to meet the needs of today"s air traffic operation, the problem of three-dimensional sectorization in terminal areas is studied by improving Agent method. Firstly, while adhering to traditional sectoring constraints, the objective is to enhance sector adaptability to traffic flows and achieve a reduction and balance in air traffic control workload. Subsequently, the traditional Agent method is improved by using genetic algorithm to determine the location of Agent initial solution, designing and optimizing Agent growth rules and spatial filling rules. Finally, using the Shanghai terminal area as a case study, the results indicate that the improved Agent method yields sector planning scheme with respective improvements of 25.84% and 18.54% in sector shape characteristics and adaptability to airborne traffic flows. Simultaneously, while reducing the overall terminal area air traffic control workload, the standard deviation of control workload among sectors is reduced by 53.33% and 36.58%, respectively, compared to the existing and traditional Agent methods.

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支博,田勇,梁满佳,等. 基于改进Agent的扇区划设方法研究[J]. 科学技术与工程, , ():

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  • 收稿日期:2024-04-17
  • 最后修改日期:2024-05-26
  • 录用日期:2024-06-05
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