Flight Arrival Time Prediction Method

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

Active Publication Date: 2021-01-05
MOBILE TECH COMPANY CHINA TRAVELSKY HLDG
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  • Abstract
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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

Method used

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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 invention provides a flight arrival time prediction method. The method includes: 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 position characteristic data; The actual arrival time of the flight is used as the original data to train the random forest model; the feature data of the flight to be predicted is classified through the random forest model, and the results obtained by the classification are voted. The result with the highest number of votes is the predicted arrival time of the flight to be predicted. The invention solves the problem of inaccurate flight estimated arrival time and improves the prediction accuracy of flight estimated arrival time.

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 Patents(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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