南京航空航天大学学报（英文版）2024，Vol.41Issue(5)：656-674,19.DOI:10.16356/j.1005-1120.2024.05.010
容量不确定性下空中交通流量管理的需求与容量平衡
Stochastic Air Traffic Flow Management for Demand and Capacity Balancing Under Capacity Uncertainty
摘要
Abstract
This paper introduces an innovative approach to the synchronized demand-capacity balance with special focus on sector capacity uncertainty within a centrally controlled collaborative air traffic flow management(ATFM)framework.Further with previous study,the uncertainty in capacity is considered as a non-negligible issue regarding multiple reasons,like the impact of weather,the strike of air traffic controllers(ATCOs),the military use of airspace and the spatiotemporal distribution of nonscheduled flights,etc.These recessive factors affect the outcome of traffic flow optimization.In this research,the focus is placed on the impact of sector capacity uncertainty on demand and capacity balancing(DCB)optimization and ATFM,and multiple options,such as delay assignment and rerouting,are intended for regulating the traffic flow.A scenario optimization method for sector capacity in the presence of uncertainties is used to find the approximately optimal solution.The results show that the proposed approach can achieve better demand and capacity balancing and determine perfect integer solutions to ATFM problems,solving large-scale instances(24 h on seven capacity scenarios,with 6 255 flights and 8 949 trajectories)in 5-15 min.To the best of our knowledge,our experiment is the first to tackle large-scale instances of stochastic ATFM problems within the collaborative ATFM framework.关键词
空中交通流量管理/需求与容量平衡/航班延误/扇区容量不确定性/地面等待/场景决策树Key words
air traffic flow management/demand and capacity balancing/flight delays/sector capacity uncertainty/ground delay programs/probabilistic scenario trees分类
交通工程引用本文复制引用
陈运翔,许炎,赵嶷飞..容量不确定性下空中交通流量管理的需求与容量平衡[J].南京航空航天大学学报（英文版）,2024,41(5):656-674,19.基金项目
This work was partially funded by the China Scholarship Council(CSC).The opinions expressed herein reflect those of the authors only.The authors would like to acknowledge the following people for their assistance:WAN Xianrong and YI Jianxin,both with the Electronic In-formation School,Wuhan University. （CSC）
