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Flight delay prediction method and device and computer storage medium

A technology of flight delay and prediction method, applied in the field of big data mining and machine learning, can solve problems such as inability to quantify and express, and achieve the effect of convenient travel for passengers

Inactive Publication Date: 2020-01-10
NANJING SARI TECH CO LTD
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Problems solved by technology

These factors contain many uncertain factors, which cannot be well quantified and expressed by corresponding mathematical methods

Method used

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  • Flight delay prediction method and device and computer storage medium
  • Flight delay prediction method and device and computer storage medium
  • Flight delay prediction method and device and computer storage medium

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Embodiment Construction

[0026] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the embodiments and accompanying drawings, and the contents mentioned in the embodiments are not intended to limit the present invention.

[0027] refer to figure 1 , a flight delay prediction method, including:

[0028] S101. Obtain a flight prediction data set, wherein the flight prediction data set includes at least one of the following: flight number, flight control number, departure airport, flight departure time, landing airport, and flight landing time.

[0029] In an embodiment, the acquisition of the enroute flow forecast data set may collect ADS-B message data through an Automatic Dependent Surveillance-Broadcast ADS-B receiving device.

[0030] Specifically, ADS-B is the English abbreviation for Automatic Dependent Surveillance-Broadcast. Aircraft equipped with this equipment do not need to be manually operated or ne...

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Abstract

The invention discloses a flight delay prediction method and device and a computer storage medium. The method comprises the steps of obtaining a flight prediction data set, wherein the flight prediction data set at least comprises one of a flight number, a flight control number, a departure airport, the flight takeoff time, a landing airport and the flight landing time; preprocessing the flight prediction data set; training a random forest network model by adopting the processed flight prediction data set; and carrying out airway delay prediction by using the trained random forest network model. According to the invention, an aviation data set is established by receiving an ADS-B message and fusing the information related to flights and airports on the Internet, and on the basis of the data set, a feasible flight delay prediction model is trained, so that the accurate delay prediction can be carried out on the flights with unknown delay. The method and the device are convenient for thetravels, provide the airline company data support and have the potential value.

Description

technical field [0001] The invention belongs to the field of big data mining and machine learning, and in particular relates to a flight delay prediction method, device and computer storage medium. Background technique [0002] In recent years, with the rapid development of the civil aviation industry, flight delays have intensified, causing huge losses to the interests of airlines, airports and passengers. Although the Civil Aviation Administration of China has introduced a series of measures to reduce flight delays, flight delays still occur from time to time, mainly because there are many factors causing flight delays and various factors are intertwined. Factors for flight delays can be divided into: weather reasons, airline reasons, airport management reasons, control reasons, etc. These factors contain many uncertain factors, which cannot be well quantified and expressed by corresponding mathematical methods. Contents of the invention [0003] In view of the deficie...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30G08G5/00
CPCG06Q10/04G08G5/003G06Q50/40
Inventor 桂冠刘凡
Owner NANJING SARI TECH CO LTD
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