Virtual Total Time Flight Abnormal Delay In Behavioral Research

With the growing air traffic, increasing airlines, flight delay become a major problem that restricts the development of aviation industry. As an abnormal flight delay phenomenon, the virtual occupation moment behavior not only exacerbated the congestion status of flights, but also increasing the airport's traffic pressure and the waste of flight resources.Therefore, how to detect and avoid virtual occupation moment behavior scientifically and effectively, has becomes an important issue need to be solved immediately.Though there are amounts of flight history data in the information systems of civil aviation of China, but its application is only a simple query and statistics for data. And the analysis of occupation moment behavior was based on the industry experience, lacking of scientific and effective method for decision-making guidance.This paper presents an integrated model to research the characteristics of occupation moment behavior. This integrated model consists of two basic models, which are decision-tree-based anomaly detection model to the name of potential abnormal flight, and association rules-based model to explore the effect of correlation between the abnormal flight and airport.After the empirical study of the integrated theory model with the intelligent data mining tools, this paper summarizes the abnomal flight characteristics of virtual occupation moment behavior, and suggests some management strategies for this problem.This paper adopts many methods and tools for the research, such as comprehensive qualitative and quantitative analysis, empirical and theoretical study, combining management and technology.The research platform and tools include Microsoft SQL Server 2005, SPSS 16.0 and Clementine 11.0.The research thinking and methodology can be built for the related anomaly detection issues in aviation industry. And the results can be used to detect the abnormal behavior of virtual occupation moment, and then take effective management measures to prevent this behavior and regulate the behavior of air-company, to some extent to improve the situation of delayed flights and reduce the waste of flight moment resourses.