西南交通大学学报2025，Vol.60Issue(3)：722-730,9.DOI:10.3969/j.issn.0258-2724.20230380
繁忙终端区连续下降运行的4D轨迹预测
4D Trajectory Prediction of Continuous Descent Operation in Congested Terminal Control Area
摘要
Abstract
In order to implement continuous descent operation(CDO)in a congested terminal control area and estimate its CO2 emission reduction benefits,a 4D trajectory prediction method for CDO based on data drive and optimal control theory was proposed.Firstly,the affinity propagation trajectory clustering method was employed to recognize typical horizontal arrival routes.According to typical horizontal arrival routes,a multi-phase optimal control model for CDO in vertical profiles was established,with the objectives of minimizing time and fuel consumption.Additionally,a novel solving method,namely genetic algorithm-based CDO(GACDO)for optimal control model was proposed.Finally,4D trajectory prediction and emission reduction benefit comparison experiments in typical horizontal arrival route identification and CDO modes were conducted by using actual trajectory data in the terminal control area.The experimental results show that ideal 4D trajectories for CDO can be achieved.With the minimum time as the optimization objective,the average operation time and CO2 emission are reduced by 26%and 8%,respectively.With the minimum fuel consumption as the optimization objective,the operation time and CO2 emission are decreased by 17%and 20%,respectively.关键词
4D轨迹预测/连续下降运行/遗传算法/轨迹聚类/最优控制Key words
4D trajectory prediction/continuous descent operation/genetic algorithm/trajectory clustering/optimal control分类
航空航天引用本文复制引用
王超,陈含露,秦宏坤,刘博..繁忙终端区连续下降运行的4D轨迹预测[J].西南交通大学学报,2025,60(3):722-730,9.基金项目
天津市应用基础研究多元投入基金(21JCZDJC00780) （21JCZDJC00780）
天津市教委科研计划(2020KJ028) （2020KJ028）
中央高校基本科研业务费专项资金(3122021065) （3122021065）
