摘要
空中交通管制扇区划分是应对终端区空域需求增长的重要手段。根据终端空域内交通流特征,提出终端区内扇功能性的概念。对基于计算几何和遗传算法的两阶段划分方法进行了研究,以终端区空域图模型为基础,利用改进的切轮法(Wheel-cut)得到内扇初始边界。综合考虑内外扇区管制员平均工作负荷均衡以及高峰小时交通流分配问题,利用遗传算法对内扇边界进行优化。通过大连终端区进行实例分析证明,方法能够得到理想的内外扇区划分结果,算法耗时6.5 s。
Airspace sector partition is proved to be a significant method to address gradually growing demand of airspace, especially in terminal airspace. According to the characteristics of traffic flows in terminal airspace, a concept of functionality of internal sector is proposed. A two- stage method which based on computational geometry and genetic algorithm（GA） is investigated. Based on the terminal airspace graph model which built first, an improved wheel- cut method is proposed for initial partition. Then, to balance controllers＇average workload between internal and external sectors and to distribute traffic flows at traffic peak hours, GA is used to optimize the initial boundary of internal sector. Dalian terminal airspace is presented as an example, and the experiment shows a promising partition result. Time cost of the optimization algorithm is 6.5 s.
出处
《航空计算技术》
2015年第4期13-17,共5页
Aeronautical Computing Technique
基金
国家自然科学基金项目资助(61039001)
关键词
空域规划
扇区划分
计算几何
遗传算法
airspace planning
airspace sectorization
computational geometry
genetic algorithm
