摘要
通过综合考虑交通管制和航空公司运行两个方面,研究了在恶劣天气下多个扇区容量发生动态变化时的流量控制问题。提出了以扇区动态容量作为主要约束条件,航班总延误成本和扇区流量稳定为优化目标,基于尾随间隔(MIT)的多扇区流量控制模型,并采用带精英策略的NSGA-Ⅱ算法求解。以某区域管制中心3个扇区为例进行了仿真分析。结果表明:利用该流量控制模型不仅能够缓解扇区拥堵,还可以让决策者选择一个最优的MIT限制值,既可以保证各个扇区的流量稳定减轻管制员工作负荷也可以控制航班的延误总成本,并验证了所建模型具有有效性与实用性。
Considering both traffic control and airline operation,this paper studies the flow control problem when capacity of multiple sectors changes dynamically in severe weather.A multi-sector flow control model based on trailing interval(MIT)is proposed,with sector dynamic capacity as the main constraint,the cost of total aircraft delay and the stability of sector flow as the optimization objective,and solved by NSGA-Ⅱalgorithm with elitist strategy.In a regional control center 3sector as an example for simulation analysis.The results indicate that the flow control model can not only alleviate sector congestion,but also enable decision makers to choose an optimal MIT limit value.It can not only ensure the flow stability of each sector and reduce the workload to controllers,but also control the total cost of flight delays,and verify that the model is effective and practical.
作者
王兴隆
纪君柔
WANG Xing-long;JI Jun-rou(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)
出处
《武汉理工大学学报》
CAS
北大核心
2019年第3期33-39,共7页
Journal of Wuhan University of Technology
基金
国家自然科学基金(61571441)
国家重点研发计划(2016YFB0502405)
空中交通管理系统与技术国家重点实验室开放基金(SKLATM201705)
作者简介
王兴隆(1979-),男,副研究员.E-mail:xinglong1979@163.com;通讯作者:纪君柔(1995-),女,硕士生.E-mail:jijunrou@163.com
