Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for predicting short-run air traffic flux based on real time radar and flight information

A flow forecasting and forecasting method technology, applied in the field of simulation, can solve problems such as low precision and large errors, and achieve the effects of improving accuracy and reliability, clear and simple forecasting processing, and intuitive display of data results.

Active Publication Date: 2008-06-18
WISESOFT CO LTD
View PDF0 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Solved the problem of large error and low precision of traditional forecasting methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for predicting short-run air traffic flux based on real time radar and flight information
  • Method for predicting short-run air traffic flux based on real time radar and flight information
  • Method for predicting short-run air traffic flux based on real time radar and flight information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] Accompanying drawing has provided a specific embodiment of the present invention.

[0033] Figure 1 shows the software structure and forecasting process of this forecasting method. After the flight information processing module receives and processes the flight information, it sends the information processing results to the high-altitude wind processing module, the aircraft flight model module and the flow processing module respectively. The high-altitude wind processing module receives the meteorological information and sends it to the aircraft flight module. The real-time radar data processing module receives and processes the real-time radar data and sends them to the aircraft flight model module. The aircraft flight model module establishes the flight model based on the received flight information, high-altitude wind processing data and radar data, and finally sends it to the traffic forecasting module. module. According to the flight model and flight information,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for predicting short-term air traffic flow based on real-time radar and flight information, which pertains to emulation of computers. On the basis of traditional prediction, real-time radar data and weather information are brought in; the radar data are directly led from an ATC system and the flight information and the weather information are led from an AFTN network. Corresponding flight models are set up according to different plane types; a flight route and specified cruising speed are obtained from a flight plan; time and speed of flying each way point, as well as when and where to pass through what controlled areas, are predicted roughly. After a plane takes off, the real-time radar data are used for amending existing prediction. During the whole way of flight, relevant upper wind data are brought in to judge the influence of wind on the flight and amend relevant flight models. A system is provided with a processing server of the flight information and weather, a processing server of the radar data, a processing server of the flow, a database and a display terminal. The invention greatly promotes correctness and reliability of flow prediction by carrying out data exchanging through ethernet network.

Description

Technical field [0001] The invention relates to a computer-applied simulation method, in particular to a prediction method of air traffic flow. Background technique [0002] The traditional short-term air traffic flow prediction usually adopts the empirical value prediction method based on flight information, which has the problem of low prediction accuracy. In order to improve the prediction accuracy, domestic and foreign research institutions have begun to consider how to introduce real-time radar data into the prediction, and have achieved some results. To sum up, the main steps are to infer the flight time, speed, position and other information of the aircraft in the future flight segment based on the real radar data or telegram data when the aircraft flies over the waypoint, and the simple flight model established in advance, so as to obtain the predicted traffic flow . The main disadvantages are: 1. Prediction is mainly based on radar or telegram data flying over way...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G08G5/00
Inventor 吴鹍余静
Owner WISESOFT CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com