Aircraft taxiing scheduling method based on taxiing conflict risk prediction

Abstract

The invention discloses an aircraft taxiing scheduling method based on taxiing conflict risk prediction, and the method comprises the steps: building a kinematic model according to the maximum taxiing speed and the maximum running speed of aircrafts of different types; an aircraft vectorization course model and an aircraft taxiing conflict risk assessment module are established, so that the time for entering conflict risk prediction is more accurately judged; the taxiing distance of the aircraft driven by a driver on a certain taxiway basically conforms to the truncated normal distribution in the taxiing process of the aircraft, and a taxiing conflict risk prediction method is established; by accurately judging the conflict risk prediction time and accurately predicting the position probability of the aircraft, the conflict risk of the aircraft is evaluated and predicted, and the prediction and evaluation precision is improved; and three control methods for reducing the conflict risk are established according to the sliding conflict risk prediction value.

Description

technical field [0001] The invention relates to airport surface taxiing, operation conflicts and conflict risk reduction strategies, in particular to an aircraft taxiing scheduling method based on taxiing conflict risk prediction. Background technique [0002] Aircraft conflict is when the distance between an aircraft and a specific target (another aircraft, restricted airspace, ground obstruction, etc.) is less than the specified minimum separation between the two during a certain period of time, so that if either party does not change its movement state, and take effective risk-avoiding measures, there may be a phenomenon of collision danger. Accurate prediction and assessment of aircraft operation conflict risks will play a positive role in improving the efficiency of airport surface operations and reducing surface conflicts. [0003] With the vigorous development of civil aviation, the number of aircraft continues to increase, and the airport taxiway area is becoming mo...

AI Technical Summary

Problems solved by technology

[0003] With the vigorous development of civil aviation, the number of aircraft continues to increase, and the airport taxiway area is becoming more and more busy. The original conflict risk prediction model does not match the taxiway use status. Among them, the aircraft is generally considered as an idealized model, and does not analyze the characteristics of the aircraft under different models. The attributes of the aircraft are fixed and the state of the aircraft is static, and the original prediction accuracy is lost under the dynamic and complex airport conditions.

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