基于高斯分布的进出港航班延误免疫检测方法  

Immune detecting method for arrival and departure flights delay of airdrome based on Gaussian distribution

作　　者：丁建立[1,2,3] 杨海彤[1,2,3] 

机构地区：[1]中国民航大学计算机学院,天津300300 [2]中国民航信息技术科研基地,天津300300 [3]中国民航大学智能信号与图像处理天津市重点实验室,天津300300

出　　处：《计算机工程与设计》2011年第8期2829-2832,共4页Computer Engineering and Design

基　　金：国家863高技术研究发展计划基金项目(2006AA12A106);国家自然科学基金项目(60879015);中国民航局科技项目(MHRD201013)

摘　　要：为了对机场航班延误情况做出较准确的检测,提出了一种基于高斯分布的进出港航班延误免疫检测模型。该模型利用生物免疫机制与航班运行机制的联系,建立了相应的自体集合、检测细胞及它们之间的匹配模型,同时针对每一架飞机每天要执行多个航班,机场进港航班与出港航班形成的前序后继关系,采用高斯分布进行拟合航班链延误波及影响。对国内某机场仿真实验结果表明,该模型有较好的效果。In order to make an accurate detection for flight delays, an immune detecting model for arrival and departure flights delay of airdrome based on Gaussian distribution is proposed. For the similarity of the immune system and flights operational mechanism, the model defined the set of ＂Self＂, detecting cells and the matching ways of them. And because a plane has to finish several flights in one day, there is a preorder-successor relation in arrival and departure flights and adopted Gaussian distribution to simulate the propagation chain of flight delays. The experiment on a domestic airport shows the method has better results.

关 键 词：高斯分布 免疫检测 进出港航班链 前序后继关系 航班延误波及 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]