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Statistical learning model based gate position allocation method

A technology of statistical learning model and allocation method, applied in the field of parking stand allocation based on statistical learning model, which can solve the problems of low parking stand utilization rate and high number of parking stand adjustments, so as to facilitate overall evaluation, ensure reasonable allocation, and improve utilization rate Effect

Inactive Publication Date: 2015-07-01
XIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a parking stand allocation method based on a statistical learning model, which solves the existing problems of high number of parking stand adjustments and low parking stand utilization due to a large number of flight delays

Method used

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  • Statistical learning model based gate position allocation method
  • Statistical learning model based gate position allocation method
  • Statistical learning model based gate position allocation method

Examples

Experimental program
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Embodiment

[0078] Assuming that an airport has 4 parking bays, respectively 1, 2, 3, and 4, it is divided into two corridors I and II, where I includes parking bays 1 and 2, and II includes parking bays 3 and 4.

[0079] By analyzing its historical flight data, the probability of departure time difference of all flights from other airports to this airport can be obtained, that is, the above-mentioned DEP. In this example, the section of Xi'an-Lanzhou is briefly described. From the analysis of historical data, the value of the Xi'an-Lanzhou flight segment is as follows:

[0080] DEP = {18.8%, 7.2%, 33.9%, 15.2%, 3.9%, 2.4%, 2.3%, 4.8%, 11.5%, td=[-1, 7]};

[0081] FLY = {2.9%, 3.3%, 26.2%, 49.4%, 9.3%, 5.5%, 3.4%, tf = [-4, 2]}. Complete the two probability tables of DEP and FLY to make it a full timetable.

[0082] Add the time of DEP and FLY of the two full schedules and multiply their probabilities to get ARR.

[0083] ARR = ...

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Abstract

The invention discloses a statistical learning model based gate position allocation method. The statistical learning model based gate position allocation method comprises the steps of adopting a prior probability prediction model, producing a take-off time difference value probability set, a take-off time difference value probability set and a landing time difference value probability set according to the historical flying situation of a certain flight, predicting arrival time probability distribution and parking apron airside leisure degree of the flight and accordingly performing flight gate position allocation. The statistical learning model based gate position allocation method is based on airside allocation, facilitates adjustment on only close gate positions of flights and shortens walking distances of passengers. In addition, overall evaluation on the using situation of gate positions is facilitated, allocation can be performed according to the planned landing time probability of the flights based on probability allocation, the gate position allocation accuracy is improved, gate position adjustment times caused by flight delay is decreased, and meanwhile the satisfaction degree of the passengers is improved. The utilization rate of the gate positions is comprehensively improved, and reasonable allocation of gate position resources is ensured.

Description

technical field [0001] The invention belongs to the technical field of intelligent computing, and in particular relates to a parking stand allocation method based on a statistical learning model. Background technique [0002] With the development of the national economy and the improvement of people's living standards, people's pace of life is accelerating, and the value of time is getting stronger and stronger. More and more passengers choose to travel by air. Due to the limited resources of airport parking spaces and boarding gates, with the rapid growth of the number of aircraft, the scale of the airport cannot be expanded indefinitely, which will cause shortage of parking space resources and restrict the development of my country's civil aviation transportation. The parking stand is an important resource of the airport, and it is a key factor to realize the fast and safe docking of flights, ensure the effective connection between flights, and improve the capacity and ser...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G5/00
CPCG08G5/00
Inventor 王磊茹星星李妍黑新宏费蓉
Owner XIAN UNIV OF TECH
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