交通运输研究2025，Vol.11Issue(6)：97-111,15.DOI:10.16503/j.cnki.2095-9931.2025.06.008
城市低空空域分层优化方法
Stratified Optimization Method for Urban Low-Altitude Airspace
郑磊 1熊已 2丁辉 1李宇萌2
作者信息
- 1. 北京航空航天大学 电子信息工程学院,北京 100191
- 2. 空地一体新航行系统技术全国重点实验室,北京 100191
- 折叠
摘要
Abstract
To address the safety management challenges arising from non-uniform traffic flow distribution and dense building obstacles in urban low-altitude airspace,this paper proposed a traffic flow-driven airspace layering optimization method.From the perspective of spatial layered planning,the heading angle range of each altitude layer was optimized.A combinatorial optimization model was established by integrating traffic flow characteristics and static geofencing constraints.This enabled the airspace structure to adaptively adjust to dynamic operational demands.In terms of the solution strategy,an improved genetic algorithm,namely the Flow-driven Genetic Algorithm for Airspace Stratified Optimization(FGA-ASO),was designed.A hybrid initialization strategy was used to embed prior traffic distribution information.A flow-weighted crossover mechanism was adopted to guide the search toward high-conflict risk areas.An adaptive mutation strategy was also incorporated to balance global exploration and local optimization capabilities.Consequently,the intelligent optimization of airspace layering was systematically achieved.Simulation experiments were conducted based on Open Street Map(OSM)building data and taxi origin-destination(OD)data of Chengdu.The results showed that the airspace structure optimized by FGA-ASO was significantly improved in safety.The total conflict count was reduced to 386,which is 26.9%lower than that of the uniform layering benchmark.The aircraft-building conflict count was only 1.The average intrusion severity decreased by 7.0%.This study demonstrates that flow-oriented airspace layered planning can effectively utilize vertical dimension resources.It significantly enhances the safety of urban low-altitude operations.The research provides theoretical support and technical pathways for refined airspace management and the sustainable development of urban air mobility systems.关键词
城市空中交通/低空空域管理/遗传算法/空域结构优化/冲突检测/地理围栏Key words
urban air mobility/low-altitude airspace management/genetic algorithm/airspace structure optimization/conflict detection/geofence分类
交通工程引用本文复制引用
郑磊,熊已,丁辉,李宇萌..城市低空空域分层优化方法[J].交通运输研究,2025,11(6):97-111,15.
