南京航空航天大学学报（英文版）2026，Vol.43Issue(1)：127-144,18.DOI:10.16356/j.1005-1120.2026.01.010
基于飞行轨迹数据的航班偏离行为分析与检测研究
Deviation Behavior Analysis and Detection Based on Flight Trajectory Data
摘要
Abstract
Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impacting flight efficiency and safety levels.However,existing research largely addresses inefficient or abnormal trajectories from a single perspective,with an absence of a unified evaluation standard.This paper introduces a method for analyzing flight deviation behavior based on automatic dependent surveillance-broadcast(ADS-B)data,defining novel metrics of trajectory redundancy and trajectory deviation.An adaptive detection algorithm is developed to capture diverse deviation patterns.Results reveal that higher trajectory redundancy is linked to lower operational efficiency,while trajectory deviation effectively identify stepped descents,holding patterns,detours,and other behaviors.The approach offers data-driven support for anomaly detection,performance evaluation and air traffic management,with substantial significance for civil aviation applications.关键词
偏离行为/飞行轨迹/飞行安全/运行效率/数据驱动Key words
deviation behavior/flight trajectory/flight safety/operational efficiency/data-driven分类
航空航天引用本文复制引用
吴烨鑫,赵嶷飞,王红勇..基于飞行轨迹数据的航班偏离行为分析与检测研究[J].南京航空航天大学学报（英文版）,2026,43(1):127-144,18.基金项目
This work was supported in part by the National Key Research and Development Program of China(No.2023YFB4302903),and the Fundamental Research Funds for the Central Universities(No.210525001464). （No.2023YFB4302903）
