南京航空航天大学学报2023，Vol.55Issue(6)：1065-1071,7.DOI:10.16356/j.1005-2615.2023.06.013
基于分类与优化的进场航空器调度方法
Arrival Scheduling Based on Classification and Optimization
摘要
Abstract
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.关键词
航空运输/进场调度/空中交通管理/分类/优化Key words
air transportation/arrival scheduling/air traffic management/classification/optimization分类
航空航天引用本文复制引用
杜卓铭,张军峰,杨春苇..基于分类与优化的进场航空器调度方法[J].南京航空航天大学学报,2023,55(6):1065-1071,7.基金项目
国家自然科学基金(U1933117) （U1933117）
南京航空航天大学科研与实践创新计划(xcxjh20220714). （xcxjh20220714）
