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A Graph Mining-Based Analysis Method for Airport Delay Causes

A technology of cause analysis and graph mining, applied in the field of civil aviation delay analysis, which can solve the problems of the affected system, insufficient facility capacity, and changes in operating procedures.

Active Publication Date: 2021-01-15
BEIHANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In addition, many studies have found that air traffic control, insufficient facility capacity, scheduling issues, operational procedure changes, and limited buffer time are significant contributors to initial delays
Delays are caused by the above reasons, coupled with propagation effects, which make the initial delay magnified and spread to the entire system

Method used

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  • A Graph Mining-Based Analysis Method for Airport Delay Causes
  • A Graph Mining-Based Analysis Method for Airport Delay Causes
  • A Graph Mining-Based Analysis Method for Airport Delay Causes

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Embodiment Construction

[0036] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0037] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described here. Therefore, the protection scope of the present invention is not limited by the specific details disclosed below. EXAMPLE LIMITATIONS.

[0038] At present, in the field of aviation, the analysis of the causes of flight delays mainly includes regression methods and algorithms. Combined with the special situation of China's aviation syst...

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Abstract

The invention discloses a delay cause analysis method based on graph mining, which uses graph convolution (GCN) as the core to adapt to the association between airports in the time-series aviation network, and uses the neural network (LSTM) as the information transmission carrier to transmit the time-series network To characterize the dynamic evolution characteristics of flight delays, runway operation conditions that affect delays and various meteorological information are input as features, and the causes of airport delays are obtained through feature weight analysis.

Description

technical field [0001] The invention belongs to the technical field of civil aviation delay analysis, in particular to a delay cause analysis method based on graph mining. Background technique [0002] With the development of my country's economy and the further globalization of the economy, the strategic role of flights continues to increase and its contribution to the national economy continues to increase, and the proportion of air transport in comprehensive transportation has further increased. With the development of the aviation industry, flight delays occur frequently, seriously restricting the efficiency and efficiency of the air transport industry. [0003] Flight delay refers to the situation that the flight landing time is delayed by more than 15 minutes than the planned landing time or the flight is cancelled. Flight delays occur every day at airports around the world. Flight delays will affect the overall flight scheduling of the airport, bringing high time co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/04G06N3/08G06Q10/06G06Q50/26
CPCG06N3/08G06Q10/06393G06Q50/26G06N3/044G06N3/045
Inventor 杜文博曹先彬张明远汪一杰
Owner BEIHANG UNIV