Flight arrival time prediction method

A technology of arrival time and flight, applied in the field of civil aviation information data processing, can solve the problem of inaccurate estimated arrival time of flight, and achieve the effect of improving accuracy

Active Publication Date: 2018-03-20
MOBILE TECH COMPANY CHINA TRAVELSKY HLDG
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AI Technical Summary

Problems solved by technology

[0010] The present invention provides a flight arrival time prediction method to at least solve the problem of inaccurate flight arrival time in the related art

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  • Flight arrival time prediction method

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Embodiment Construction

[0031] Hereinafter, the present invention will be described in detail with reference to the drawings and examples. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0032] In this embodiment, a flight arrival time prediction method is provided, figure 1 is a flow chart of a flight arrival time prediction method according to an embodiment of the present invention, such as figure 1 As shown, the process includes the following steps:

[0033] Step S101, obtaining historical data, and preprocessing the historical data to obtain characteristic data, wherein the characteristic data includes: weather characteristic data, flight historical flight characteristic data and location characteristic data;

[0034] Step S102, using the feature data and the actual arrival time of the flight corresponding to each piece of feature data as raw data to train the random forest mod...

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Abstract

The present invention provides a flight arrival time prediction method. The method comprises the steps of: obtaining historical data, performing preprocessing of the historical data, and obtaining characteristic data, wherein the characteristic data comprises weather characteristic data, flight historical flight characteristic data and position characteristic data; taking the characteristic data and actual time of arrival of one flight corresponding to each characteristic data as original data to train a random forest model; performing classification of the characteristic data of a flight to be predicted by employing the random forest model, and performing voting of results obtained through classification, wherein a result having the most votes is predicted arrival time of the flight to bepredicted. According to the invention, the problem is solved that predicted arrival time of flights is not accurate, and the accuracy of the predicted arrival time of the flight is improved.

Description

technical field [0001] The invention relates to the field of civil aviation information data processing, in particular to a flight arrival time prediction method. Background technique [0002] Terminology Explanation [0003] ADS-B: Automatic Dependent Surveillance-Broadcast, the data source of the flight position information in the embodiment of the present invention. [0004] Cloud Groups: Cloud amount and height are reported as "NNNhhh", where "NNN" is cloud amount and "hhh" is cloud height. The cloud amount is observed according to the eighth component, that is, the sky is divided into eight equal parts, and the cloud amount is eighths according to how much the sky is covered. According to the "International Aeronautical Meteorological Code", for cloud amount, report according to FEW (1-2), SCT (3-4), BKN (5-7), OVC (8); for cloud height, below 3000 meters, In units of 30 meters (100 feet), above 3000 meters, reported in units of 300 meters (1000 feet); for cloud type...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06K9/62G06Q50/30
CPCG06Q10/04G06Q50/30G06F18/24323
Inventor 陈晓宇权桁王殿胜薄满辉唐红武刘昊
Owner MOBILE TECH COMPANY CHINA TRAVELSKY HLDG
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