华南理工大学学报（自然科学版）2026，Vol.54Issue(8)：96-109,14.DOI:10.12141/j.issn.1000-565X.250320
基于组合聚类的低空航路网络规划方法
A Low-Altitude Air Route Network Planning Method Based on Combinatorial Clustering
摘要
Abstract
The structured and networked planning of urban low-altitude air routes is an effective approach to alle-viating the shortage of low-altitude airspace resources and ensuring operational safety.Considering the actual requirements of route deployment and traffic flow in urban low-altitude logistics scenarios,this paper proposes a low-altitude"trunk-feeder"route network planning method based on combined clustering,with the layout of takeoff and landing sites and actual operational traffic volumes as input conditions.Initially,the optimal orientation of trunk route was determined using principal component analysis(PCA)and numerical optimization,respectively.Meanwhile,the quality of the clustering results was evaluated using a Gaussian distribution model and a geometric similarity model,and four differentiated route network clustering schemes were constructed.Secondly,a comprehensive evaluation system encompassing the total route network length,construction costs,and route intersection points was established to assess the performance of the four clustering methods.Finally,the feasibility and effectiveness of the method were validated using Shaoxing City as a case study.The results show that,compared with the initial planning scheme,the total construction cost of the route network decreases by 21.39%and the number of route intersections decreases by 34.41%under the high-density scenario.Under the medium-density scenario,the total construction cost decreases by 36.44%and the number of route intersections decreases by 16.92%.The findings indicate that the proposed"principal component analysis-geometric similarity"combined clustering method adopted in this pa-per can significantly improve the safety and cost-effectiveness of low-altitude operations,and can provide theoretical foundations and technical support for the scientific planning of urban low-altitude traffic systems.关键词
城市空中交通/低空航路/网络规划/聚类/无人机Key words
urban air mobility/low-altitude air route/network planning/hierarchical clustering/unmanned aerial vehicle分类
航空航天引用本文复制引用
韩鹏,曹露瑶,曾曙,罗锦发,赵嶷飞..基于组合聚类的低空航路网络规划方法[J].华南理工大学学报（自然科学版）,2026,54(8):96-109,14.基金项目
国家自然科学基金项目(52572390) （52572390）
民航飞行技术与飞行安全重点实验室开放资助项目(FZ2021KF17) （FZ2021KF17）
中国民航局民航安全能力建设项目(20230010) Supported by the National Natural Science Foundation of China(52572390) （20230010）
