摘要
为兼顾进场运行效率与管制工作经验,提出了一种基于分类与优化的进场调度方法。在分析进场管制特点的基础上,将进场排序问题转化为机器学习领域的分类问题,并构建随机森林分类器预测航空器着陆次序;利用综合得分机制和滑动时间窗实现进场航空器动态在线排序;针对预测着陆次序建立多目标优化模型,实现着陆时间优化;采用长沙黄花机场3组繁忙时段的进场运行数据,验证方法的可行性。结果表明:随机森林分类器预测着陆次序与实际着陆次序高度吻合,正确率达到99.00%以上;相比于传统先到先服务策略,本文方法减少了平均延误时间、平均飞行时间、最大飞行时间、最大延误时间和着陆位置变动次数;相比于常规优化方法,本文方法能够在保障优化指标的基础上,将航空器着陆位置变动由12次降为2次。
A new arrival scheduling method based on classification and optimization is proposed to balance the efficiency of arrival operation and working experiences of air traffic controllers(ATCOs).The arrival scheduling problem is transformed into a binary classification problem based on analyzing the operational characteristics of arrival control.A classifier based on the random forest algorithm is built to predict the landing sequence of arrival aircraft.The dynamic sequencing for arrival aircraft is achieved by using a composite scoring method and implementing a rolling time window mechanism.Furthermore,the landing times are optimized by concerning the landing sequence and optimization model.Finally,three groups of actual arrival operation data of Changsha Huanghua International Airport in rush hours are used to verify the feasibility of the proposed method.The results indicate that the random forest classifier’s prediction results are close to the real landing sequence results with an accuracy of more than 99.00%.Compared with the traditional first-come-first-served heuristic,the proposed method reduces the average delay,average flight time,maximum flight time,maximum delay,and variation of the landing sequence.Compared with the conventional optimization method,the proposed method reduces the number of landing position shifts from 12 to two while not significantly decreasing arrival scheduling performance.
作者
杜卓铭
张军峰
杨春苇
DU Zhuoming;ZHANG Junfeng;YANG Chunwei(College of Civil Aviation,Nanjing University of Aeronautics&Astronautics,Nanjing 211106,China)
出处
《南京航空航天大学学报》
CAS
CSCD
北大核心
2023年第6期1065-1071,共7页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家自然科学基金(U1933117)
南京航空航天大学科研与实践创新计划(xcxjh20220714)。
关键词
航空运输
进场调度
空中交通管理
分类
优化
air transportation
arrival scheduling
air traffic management
classification
optimization
作者简介
通信作者:张军峰,男,副教授,E-mail:zhangjunfeng@nuaa.edu.cn。
