期刊文献+

基于机型间隔的首都机场跑道流量优化 被引量:1

Capital Airport Runway Flow Optimization Based on Aircraft Traffic Gaps
在线阅读 下载PDF
导出
摘要 随着民航运输业的迅速发展,我国的空中交通流量持续快速增长。机场容量往往决定了整个空中交通容量水平,是机场中最容易形成瓶颈的子系统。从机场跑道容量入手,引入跑道容量模型,基于机型间隔对跑道容量问题进行研究分析以提高机场的运行效率。从北京首都国际机场实际运行数据中采集机型配比,将蚁群算法应用到航班进场优化排序中,确定了更优的进场航空器次序,优化了首都机场的跑道流量。 With the rapid development of civil aviation transportation industry,the air traffic volume of our country continues to grow rapidly.Airport capacity often determines the overall air traffic capacity level and is the most easily bottleneck subsystem in the airport.In order to improve airport operation efficiency,this paper starts with the airport runway capacity,introducing the runway capacity model,and analyzes the runway capacity problem based on the aircraft traffic gaps.Finally,referring the actual operation data of Beijing Capital International Airport,the aircraft type ratio is collected.The ant colony algorithm is applied to the optimal scheduling of flights,and the more optimized aircraft type allocation strategy is explored,so as toimprove the efficiency of runway utilization.
作者 乔晓莹 齐雁程 QIAO Xiao ying;QI Yan cheng(College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China)
出处 《航空计算技术》 2019年第4期109-113,122,共6页 Aeronautical Computing Technique
基金 国家重点研发计划专项项目资助(2016YFB0502400)
关键词 机型 跑道容量 蚁群算法 最小时间间隔 aircraft type runway capacity ant colony algorithm minimum time gap
  • 相关文献

参考文献17

二级参考文献116

共引文献200

同被引文献11

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部