关键词: 空中交通流, 关联规则, 拥挤传播, OApriori 算法

Abstract:  Based on the operation phenomenon of air traffic flow， a traffic congestion propagation rule mining model is estab鄄 lished to analyze and characterize the propagation phenomenon of traffic flow congestion in the terminal area from a mathematical perspective. Firstly， the traffic flow in the terminal area is divided according to the segment structure and the traffic status evaluation index is given， and fuzzy C-means algorithm is applied to cluster the approach traffic flow status in the terminal area. Then， the OApriori algorithm is used to mine the congestion propagation law of approach traffic flow in the terminal area. Finally， based on the measured historical data， the total airspace and airport modeler （TAAM） simulation scene of Beijing terminal area is constructed to simulate and analyze the oper鄄 ation of the terminal area under different flow distribution characteristics. The results show that the propagation law obtained from the proposed model is consistent with the actual situation， and it is found that optimizing the flow distribution at the entry point of the terminal area can significantly reduce the phenomenon of congestion propaga鄄 tion in the terminal area

Key words:  , air traffic flow, association rule, congestion propagation, OApriori algorithm