航班延误特征可视分析方法  

Visual analysis method of flight delay characteristics

作　　者：贺怀清[1] 韩丽旸 周钢[2] 宋淼 刘浩翰[1] 惠康华[1] HE Huai-qing;HAN Li-yang;ZHOU Gang;SONG Miao;LIU Hao-han;HUI Kang-hua(College of Computer Science and Technology,Civil Aviation University of China,Tianjin 300300,China;Science and Technology Management Department,TravelSky Technology Limited,Beijing 101300,China)

机构地区：[1]中国民航大学计算机科学与技术学院,天津300300 [2]中国民航信息网络股份有限公司科技管理部,北京101300

出　　处：《计算机工程与设计》2024年第10期3161-3169,共9页Computer Engineering and Design

基　　金：国家自然科学基金项目(U1333110);国家重点研发计划基金项目(2020YFB1600101);天津市教委科研基金项目(2020KJ024)。

摘　　要：为分析航班延误发生规律,提出一种数学模型联合多视图协同的可视分析方法。对SEIR传染病传播模型进行调整,建立航班延误传播模型分析延误的传播特征,在此基础上,运用频繁子图挖掘算法提取延误频繁模式;设计基于中点分割的地图网络图、矩阵热力图和时序图,分析延误的时空分布特征;设计VA-FDC系统用于方法验证。实验结果表明,VA-FDC能够有效分析航班延误时空分布特征,依据航班延误传播模型准确描述延误传播特征,为相关部门有效措施的制定提供借鉴。To analyze the occurrence law of flight delay,a visual analysis method based on mathematical model combined with multi-view collaboration was proposed.The transmission model of SEIR infectious disease was adjusted.The flight delay propagation model was established to analyze the transmission characteristics of delay,and on this basis,the frequent subgraph mining algorithm was used to extract the delay frequent mode.A map network diagram based on midpoint segmentation,matrix heat map and time series diagram were designed to analyze the temporal and spatial distribution characteristics of delay.The VA-FDC system was designed for method validation.The results show that VA-FDC can effectively analyze the spatial and temporal distribution characteristics of flight delays,and accurately describe the delay propagation characteristics according to the flight delay propagation model,so as to provide reference for the formulation of effective measures by relevant departments.

关 键 词：航班延误 时空分布特征 延误传播模型 频繁子图挖掘 延误传播路径 延误频繁模式 多视图协同 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]