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Aircraft taxiing path planning method

A path planning and aircraft technology, applied in the field of aircraft taxiing path planning, can solve the problem of not being able to provide the optimal taxiing path

Inactive Publication Date: 2020-10-23
青岛民航凯亚系统集成有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

The planning of taxiing paths for incoming and departing aircraft is a comprehensive consideration of aircraft taxiing distance, taxiing time, fuel consumption, passenger comfort, and safety. At present, when most airports plan taxiing paths, controllers assign aircrafts according to taxiing rules and personal habits. Make a taxi route to taxi, this operation cannot provide the optimal taxi path

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Embodiment

[0041] Through the Petri net, the structure of the airport operation physical activity area composed of the runway, taxiway, and apron network is transformed into a surface movement model TPN = {P, T, Pre, Post, m, Γ}, where: the place set P is the aircraft The area of ​​the taxiing section; the transition set T is the boundary set L between the area where the aircraft is located and the next area; pre and post represent the forward and backward relationship between P and T respectively; m is the distribution vector of aircraft in each warehouse on the scene ; Γ is the average taxiing time of aircraft a in a certain taxi segment, calculated by the length of taxi segment d(p) and the average taxi speed v of aircraft a a (p) Solve to get Γ(a, p)=s(p) / v a (p);

[0042] The establishment of the scene action model needs to meet the following rules:

[0043] Rule (1), if an aircraft can pass through the boundary line l in both directions, then Pre(p i ,t)=1∧Post(p i , t)=1, the ...

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Abstract

The invention belongs to the technical field of civil aviation industry data mining, and particularly relates to an aircraft taxiing path planning method which comprises the following steps: firstly,converting a physical activity area structure of an airport into an airport Petri net model graph through a Petri net, and enabling the airport Petri net model graph to be in one-to-one correspondencewith Petri nets according to physical and control constraints of actual roads of the airport; combining the Petri net model graph with a genetic algorithm for solving, encoding chromosome genes of the genetic algorithm, initializing a population, and designing a genetic operator; and generating an aircraft path planning route through selection, intersection, variation and iteration. According tothe path planning method, the airport flight taxiing efficiency and the airport operation efficiency are improved, the ground waiting time of aircrafts is shortened, human resources for airport dispatching are liberated, and the airport cost is reduced; the algorithm automation sliding path planning solves the error condition of manual scheduling planning operation.

Description

technical field [0001] The invention belongs to the technical field of civil aviation data mining, and in particular relates to an aircraft taxiing path planning method. Background technique [0002] With the rapid development of my country's civil aviation industry, the pressure on flights carried by airports is increasing, and flight delays that used to come from the air have gradually been transferred to the ground. The operation of the airport scene mainly refers to the process of aircraft entering and leaving the airport. After landing, the aircraft taxis to the designated apron and stand according to the instructions of the tower, and waits for the ground support service or connects to the corridor bridge. Represents the end of the entire approach process; the departing aircraft relies on the tractor to push out and enter the taxiway after receiving the clearance instruction from the control. Due to the complexity of airport layout and increasingly frequent low-visibi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06F30/22G06N3/12G06F111/04G06F111/08G06F119/12
CPCG06N3/126G06Q10/047G06F30/22G06F2111/04G06F2111/08G06F2119/12
Inventor 李福聪刘晓疆战嘉馨陈晓李坤
Owner 青岛民航凯亚系统集成有限公司
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