航班计划优化研究概述  

Overview of Flight Planning Optimization Research

作　　者：李德龙 徐海文[2] 傅强[2] LI De-long;XU Hai-wen;FU Qiang(School of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618307,China;School of Computer,Civil Aviation Flight University of China,Guanghan 618307,China)

机构地区：[1]中国民用航空飞行学院空中交通管理学院,广汉618307 [2]中国民用航空飞行学院计算机学院,广汉618307

出　　处：《价值工程》2021年第2期1-5,共5页Value Engineering

基　　金：国家自然基金:基于多枢纽的时间带离散近似不正常航班恢复模型与算法研究,项目编号:U1233105;中国民用航空飞行学院面上项目,基于民航大数据和深度学习的航班延误预防模型研究,J2019-061。

摘　　要：从航班计划优化的不同时间阶段分析,可以将航班计划优化分为航班计划静态编排优化、基于航班延误预测的航班计划动态反馈优化和基于机场协同决策(A-CDM)的航班计划动态调整角度三类;进而从航班时刻、机型指派、航班频率等编制环节分析了航班计划静态编排优化;随后利用延误波及预测与数据挖掘预测的优化方法分析了基于航班延误预测的航班计划动态反馈优化的相关研究。最后,根据航班计划优化复杂性分析,给出了航班计划优化的发展趋势和未来研究方向。From the analysis of different time stages of flight planning optimization,flight planning optimization can be divided into three aspects:static flight planning optimization,flight planning dynamic feedback optimization based on flight delay prediction,and flight planning dynamic adjustment based on airport collaborative decision-making(A-CDM).Then,it analyzes the static scheduling and optimization of flight plans from the preparation links of flight schedules,aircraft type assignments,and flight frequencies;then uses the optimization method of delay spread prediction and data mining prediction to analyze the correlation of flight plan dynamic feedback optimization based on flight delay prediction the study.Finally,according to the complexity analysis of flight plan optimization,the development trend and future research directions of flight plan optimization are given.

关 键 词：航班计划优化 航班延误预测 深度学习 机场协同决策 监督学习 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]