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Optimal allocation method of hub airport gate positions based on improved ACO algorithm

A parking stand and hub technology, applied in the field of airport resource allocation, can solve problems such as slow convergence speed and long calculation time

Active Publication Date: 2017-10-03
DALIAN JIAOTONG UNIVERSITY
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Problems solved by technology

However, since the traditional ACO algorithm uses a fixed increase or decrease of pheromone to update the pheromone, it is prone to slow convergence, falling into local optimum, and long operation time.

Method used

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  • Optimal allocation method of hub airport gate positions based on improved ACO algorithm
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  • Optimal allocation method of hub airport gate positions based on improved ACO algorithm

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Embodiment Construction

[0054] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0055] The method for optimally allocating parking spaces at hub airports based on the improved ACO algorithm provided in the embodiments of the present invention includes:

[0056] Establish objective function, the objective function that the present invention establishes comprises three sub-objective functions with the most balanced parking stand idle time, the shortest passenger walking distance and the least number of flights assigned to the apron, specific...

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Abstract

The invention discloses an optimal allocation method of hub airport gate positions based on an improved ACO algorithm. The optimal allocation method relates to the technical field of airport resource allocation, is based on the analysis of airport gate position configuration conditions and airport operation management modes in China, aims at the problems that the existing gate position allocation problem takes single target into account and is not high in precision and efficiency of a solution algorithm, comprehensively considers the optimization targets of shortest total walking distance of passengers, the most balanced idle time of gate positions and the least number of parking aprons, establishes a gate position multi-target optimized allocation model, and adopts an improved ant colony optimization algorithm for solving the model, so that the gate positions can be reasonably and effectively allocated to flights.

Description

technical field [0001] The invention relates to the technical field of airport resource allocation, in particular to an optimal allocation method of hub airport parking spaces based on an improved ACO algorithm. Background technique [0002] The parking space is a limited and important resource of the airport. It is the most critical factor to realize the fast and safe stop of the flight, ensure the effective connection between the flights, and improve the comprehensive operation efficiency of the entire airport. Airport stand allocation refers to the designation of appropriate boarding gates for arriving and departing flights by the airport command center within a certain time limit, taking into account factors such as the arrangement of stand positions, aircraft types, and flight arrival and departure times. Guarantee that the flight is on schedule and not delayed. Whether the allocation of airport parking spaces is reasonable or not is not only related to the safety and ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G5/06
Inventor 邓武赵慧敏孙萌李博王春晓杨鑫华
Owner DALIAN JIAOTONG UNIVERSITY
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