空中交通拥挤的识别与预测方法研究

doi:10.7527/S1000-6893.2015.0123

Abstract

Abstract:

With the rapid development of air transport industry, the phenomenon of air traffic congestion is becoming more and more serious. The research of air traffic congestion is a hot topic of the international civil aviation community, among which, the identification and prediction of air traffic congestion is the most important. The research on identification and prediction methods of air traffic congestion is generalized. Firstly, the research findings of the concept of air traffic congestion based on congestion formations and congestion aftereffects are summed up. Secondly, the important research methods of air traffic congestion identification based on different time scales of traffic data are reviewed. They are threshold identification based on short term data, clustering identification based on long term data and comprehensive evaluation based on mixed data. Thirdly, the air traffic congestion prediction methods based on mathematical algorithms (prediction based on mathematical statistics, traffic flow models and intelligent algorithms) and computer simulation techniques are summarized. Lastly, the recent research focus and the future research directions of identification and prediction of air traftic congestion are put forward.

Key words: air traffic congestion, complex network, identification, prediction, traffic capacity

CLC Number:

V355

XU Xiaohao, LI Shanmei. Identification and prediction of air traffic congestion[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(8): 2753-2763.

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Identification and prediction of air traffic congestion

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