计算机工程与设计2024,Vol.45Issue(10) :3161-3169.DOI:10.16208/j.issn1000-7024.2024.10.036

航班延误特征可视分析方法

Visual analysis method of flight delay characteristics

贺怀清 韩丽旸 周钢 宋淼 刘浩翰 惠康华
计算机工程与设计2024,Vol.45Issue(10) :3161-3169.DOI:10.16208/j.issn1000-7024.2024.10.036

航班延误特征可视分析方法

Visual analysis method of flight delay characteristics

贺怀清 1韩丽旸 1周钢 2宋淼 1刘浩翰 1惠康华1
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作者信息

  • 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
  • 折叠

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.

Abstract

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 propa-gation 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 dis-tribution 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

Key words

flight delays/spatial-temporal distribution characteristics/delay propagation model/frequent subgraph mining/delay propagation path/delay frequent mode/multi-view collaboration

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基金项目

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)

出版年

2024
计算机工程与设计
中国航天科工集团二院706所

计算机工程与设计

CSTPCD北大核心
影响因子:0.617
ISSN:1000-7024
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