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Traffic situation prediction method and device

A traffic situation and traffic forecasting technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of mistakes, high brain power consumption, and high task difficulty.

Active Publication Date: 2020-09-08
INST OF RADAR & ELECTRONICS CONFRONTATION ARMY AIR FORCE EQUIP RES INST OF PLA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, air traffic controllers need to analyze and process a variety of data information at the same time. Generally, they need to change shifts in one or two hours, which consumes a lot of brainpower, tasks are difficult, and there is a risk of mistakes.

Method used

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  • Traffic situation prediction method and device

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no. 1 example

[0041] Please refer to figure 2 , the embodiment of the present invention provides a traffic situation prediction method, the method comprising:

[0042] Step S210: Obtain the environmental data of the selected airport at the selected time and the flight volume of the airport matching the environmental data at the selected time.

[0043] The 12 domestic flight information regions are:

[0044] Northeast China: Shenyang FIR ZYSH;

[0045] North China: Beijing Flight Information Region ZBPE;

[0046] East China: Shanghai FIR ZSHA, Taipei FIR RCAA;

[0047] South Central Region: Wuhan FIR ZHWH, Guangzhou FIR ZGZU, Hong Kong FIR VHHK, Sanya FIR ZJSY;

[0048] Southwest China: Kunming FIR ZPKM, Chengdu FIR ZUUU;

[0049] Northwest China: Lanzhou FIR ZLHW, Urumqi FIR ZWUQ.

[0050] Select the airport with the largest aviation traffic in each flight information region, and obtain the environmental data of each airport, such as through the published Meteorological Terminal Avia...

no. 2 example

[0057] Please refer to image 3 , the embodiment of the present invention provides a traffic situation prediction method, the method comprising:

[0058] Step S210: Obtain the environmental data of the selected airport at the selected time and the flight volume of the airport matching the environmental data at the selected time.

[0059] Step S222: Obtain the airport METAR message, and obtain environmental data from the METAR message, wherein the environmental data includes visibility and wind speed.

[0060] In the METAR message published on the relevant website, there are fields representing wind and visibility.

[0061] Wind: Wind is reported in 5 digits up to 99 knots and in 6 digits above 99 knots. The first 3 digits indicate the direction the wind is blowing, and if the wind direction is changing, it is reported in VRB. The last two digits indicate the number of knots of the wind speed, or 3 digits if the wind speed exceeds 99 knots. If it is a gust, then follow the ...

no. 3 example

[0074] Please refer to Figure 4 , the embodiment of the present invention provides a traffic situation prediction method, the method comprising:

[0075] Step S210: Obtain the environmental data of the selected airport at the selected time and the flight volume of the airport matching the environmental data at the selected time.

[0076] Step S220: According to the environmental data, obtain the weather-influenced traffic weight within the selected time period, and obtain the weather-influenced traffic index of the environmental data based on the environment data, the weather-affected traffic weight, and the calculation rule of the weather-affected traffic index.

[0077] Step S232: Using the weather-influenced-traffic index as the original variable, calculate the correlation coefficient matrix of the original variable, obtain the eigenvalue according to the correlation coefficient matrix, and extract the common factors according to the principle that the eigenvalue is greate...

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Abstract

Embodiments of the present invention provide a traffic situation prediction method and device, which relate to the field of air traffic management. The traffic situation prediction method includes: obtaining the environmental data of the selected airport at the selected time and the airport flight volume matching the environmental data at the selected time; based on the environmental data, obtaining the weather impact traffic weight value within the selected time, and based on The calculation rules of environmental data, weather-affected traffic weights and weather-affected traffic index are used to obtain the weather-affected traffic index of environmental data; based on the weather-affected traffic index, factor analysis and clustering operations are used to establish an airport traffic prediction model; based on the selected airport The weather-impacted traffic index uses the airport traffic prediction model to obtain a visual weather-impacted traffic query map, so that when weather causes aircraft delays, similar weather-impacted traffic conditions can be obtained based on the weather-impacted traffic query map and a diversion plan can be made in advance.

Description

technical field [0001] The present invention relates to the field of air traffic management, in particular to a method and device for predicting traffic conditions. Background technique [0002] Bad weather has a huge impact on flight operations. In order to ensure the orderly flow of air traffic, there are special air traffic controllers who refer to radar and other information to monitor aircraft operation and airspace environment in real time, comprehensively analyze airport capacity, aircraft interval, weather and other factors, and manage all aircraft in the entire airspace as a whole. However, air traffic controllers need to analyze and process a variety of data information at the same time. Generally, they need to change shifts within one or two hours, which consumes a lot of brainpower, the tasks are difficult, and there is a risk of mistakes. Contents of the invention [0003] In view of this, the purpose of the embodiments of the present invention is to provide ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27
CPCG06Q10/04G06Q50/40
Inventor 王长春唐治理李海峰朱永文付莹李静周臣
Owner INST OF RADAR & ELECTRONICS CONFRONTATION ARMY AIR FORCE EQUIP RES INST OF PLA