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所属单位：民航学院

发表刊物：MATHEMATICAL PROBLEMS IN ENGINEERING

关键字：AIRPORT CONGESTION TRAVEL BEHAVIOR MANAGEMENT

摘要：This study's goal is to reduce the number of flights and alleviate congestion in hub airports. It proposes a flight time and frequency optimization method for multiairport systems. A flight time and frequency-optimization model for multiairport system operation is created to minimize loss of passenger trip time. A k-means clustering algorithm is designed to solve the model and calculate indexes such as flight time and frequency, passenger trip-time loss, and distribution of airplane models and quantity. The calculation results of an example in China are as follows. Under multiairport system operation mode, passenger demands are divided into 7 categories; 11 flights satisfy all passenger demands; passenger trip-time loss is 129,573 min; and the average passenger load factor is 90.1%. Under an independent operation mode, passenger demands are divided into 8 categories; 13 flights satisfy all passenger demands; passenger trip-time loss is 173,705 min; and the average passenger load factor is 87.4%. The multiairport system operation mode not only improves passenger trip efficiency but also benefits airlines by improving the passenger load factor and reducing flights. Moreover, comparative analysis of a genetic algorithm versus a clustering algorithm further proves the accuracy of the clustering algorithm.

ISSN号：1024-123X

是否译文：否

发表时间：2017-01-01

合写作者：Hua, Songyi

通讯作者：包丹文