Rule mining based flight arrival and departure cooperative scheduling method

Abstract

The present invention discloses a rule mining based flight arrival and departure cooperative scheduling method and belongs to the technical field of flight scheduling. The method comprises the steps of: firstly, analyzing historical operating data of a target airport, performing mapping modeling by applying an artificial neural network, and extracting out operation modes and rules of the airport under weather conditions in different seasons; and then establishing a flight arrival and departure cooperative scheduling model, designing a dynamic optimization algorithm by combination with a cellular automaton, performing optimized sequencing on arrival and departure flights, and inputting an updated scheduling scheme according to real-time data. The method takes the characteristics and interacting factors of the arrival and departure processes of the flights into comprehensive consideration; and meanwhile, with reference to different operation modes, obtained by performing rule mining on the historical operating data of the target airport, of the target airport under different conditions, a flight arrival and departure scheduling model that is more comprehensive and closer to actual scheduling is established, so that the arrival and departure of the flights can be ensured to more efficient.

Description

technical field [0001] The invention belongs to the technical field of flight scheduling, and in particular relates to a method for collaborative scheduling of flight arrivals and departures based on rule mining. Background technique [0002] In recent years, my country's air transport industry has developed rapidly, and China's civil aviation has become the second largest air transport system in the world. With the continuous expansion of the scale of air transportation, the inefficiency of the operation of the airport terminal area has become a bottleneck restricting the development of aviation, causing serious flight delays and congestion. Therefore, it is necessary to optimize the scheduling of incoming and outgoing flight flows in the terminal area to reduce flight delays and improve airport operating efficiency. Aircraft Landing and Departure Collaborative Scheduling (hereinafter referred to as ALDCS) aims to solve the problem of congestion in the terminal area by cha...

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Problems solved by technology

[0004] However, the traditional method also has certain problems: in the actual operation of the terminal area, the use of the terminal area resources (such as airspace, runway, parking space, etc.) by the arrival and departure flights is mutually restricted, and only a single arrival or departure is considered Scheduling is difficult to achieve global optimum

[0005] The coordinated scheduling of flight arrivals and departures is a complex engineering optimization problem. There are many difficulties in actual scheduling: there are many constraints, and the arrival and departure flights must satisfy the safety constraints. Safety constraints; great uncertainty, for example, in different seasons and different weather conditions, the airport adopts different operating modes accordingly, and the operating modes and rules are not definite; high real-time performance, and the problem of coordinated scheduling of flight arrivals and departures is a dynamic one. For optimization problems, scheduling results need to be obtained in a short period of time

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