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Sliding path optimization index solving method based on Monte Carlo algorithm

A path optimization and algorithm technology, applied in the field of airport surface transportation, can solve the problems of insufficient control mode and low airport operation efficiency, and achieve the effect of reducing taxi waiting time, optimizing variable taxi time, and improving airport capacity

Inactive Publication Date: 2021-01-29
杨媛媛
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Problems solved by technology

[0003] Therefore, it is necessary to propose a method for solving the optimization index of taxiing path, mainly aiming at the key problems such as the low efficiency of the overall operation of the airport and the insufficient optimization of the control method. Congestion evolution law, build a model around the traffic flow operation characteristics of large hub airports, focus on planning taxiway system paths, optimize variable taxi time, and improve taxi efficiency and airport capacity

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  • Sliding path optimization index solving method based on Monte Carlo algorithm
  • Sliding path optimization index solving method based on Monte Carlo algorithm
  • Sliding path optimization index solving method based on Monte Carlo algorithm

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[0040] The present invention will be further described in detail below through the specific examples, the following examples are only descriptive, not restrictive, and cannot limit the protection scope of the present invention with this.

[0041] A method for solving the glide path optimization index with the Monte Carlo algorithm, the method for solving the glide path optimization index by the Monte Carlo algorithm includes the following steps carried out in order:

[0042] 1) Generate collection samples: preprocess the data provided by a large domestic airport, divide the continuous time into discrete time units t, and use a reasonable calculation method to extract the location status information at each time from the obtained data to generate collection samples. At the same time, set the maximum number of samples N required for prediction;

[0043] The above preprocessing is performed on the data provided by a large domestic airport, the continuous time is divided into disc...

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Abstract

The invention relates to a method for solving a sliding path optimization index by using a Monte Carlo algorithm. The method comprises the following steps: generating a collection sample; obtaining prior probability distribution at the moment k; obtaining posterior probability distribution; screening the data information conforming to the optimal path; performing position state information resampling on the cells by using the estimated posteriori probability distribution function and a Monte Carlo algorithm; and performing simulation processing. According to the method for solving the slidingpath optimization index through the Monte Carlo algorithm, the sliding waiting time of departure aircrafts is shortened, the sliding efficiency is improved by 9.8%, and airport ground resources are fully dispatched and reasonably distributed.

Description

technical field [0001] The invention belongs to the field of airport surface transportation, and in particular relates to a method for solving an optimization index of a taxiing path based on a Monte Carlo algorithm. Background technique [0002] In recent years, with the continuous increase of airport traffic flow and the number of airport flights, the contradiction between my country's airspace system capacity, air traffic flow and air traffic management capabilities has gradually intensified, resulting in a continuous decline in the anti-interference ability of air traffic. Shipping delays are frequent and airline and passenger satisfaction is down. Therefore, the adjustment and optimization of airport operation management methods has also become an important way for our country to deal with large-scale flight conflicts. Due to the shortage of airspace resources, limited airport expansion, and limited airport infrastructure, optimizing variable taxi time to make full use ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06Q10/06G06F111/04G06F111/08
CPCG06F30/20G06Q10/047G06Q10/06393G06F2111/04G06F2111/08
Inventor 杨媛媛
Owner 杨媛媛
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