Four-dimensional track conjecture method based on historical track data mining

A technology of data mining and track, which is applied in the field of civil aviation air traffic management, and can solve problems such as errors

Active Publication Date: 2019-03-19
SICHUAN UNIV
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AI Technical Summary

Problems solved by technology

This method is simple to deal with altitude, speed, and cruising altitude, and there is a certain error between the estimated track and the real track

Method used

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  • Four-dimensional track conjecture method based on historical track data mining
  • Four-dimensional track conjecture method based on historical track data mining
  • Four-dimensional track conjecture method based on historical track data mining

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Embodiment Construction

[0040]The flight stage of an aircraft can be divided into five parts, which are takeoff, climb, cruise, descent and landing. The aircraft takes off at the departure airport, climbs up to the cruising altitude after leaving the ground, and then cruises at the cruising altitude. Enter the descent phase at the point of descent until landing at the destination airport. The four-dimensional track is the time, horizontal position, altitude, vertical speed and other information of the aircraft during its flight phase.

[0041] see figure 1 .

[0042] The flow chart of the four-dimensional track prediction method based on historical track data mining is as follows: figure 2 As shown, the specific steps are as follows:

[0043] Step 1: Historical flight data and surveillance data processing

[0044] Historical flight data includes: flight number, estimated departure time, actual departure time, estimated arrival time, actual arrival time, waypoint, passing time, etc. Historical mo...

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Abstract

The invention discloses a four-dimensional track conjecture method based on historical track data mining. The method comprises the steps that 1, four-dimensional track information is obtained according to the relationship between historical track data and monitoring data; 2, an aircraft historical four-dimensional track model is constructed; 3, linear fitting and non-linear fitting are carried outon heights and speeds of taking off and climbing phase, level flying phase and descending phase of the aircraft respectively; 4, horizontal tracks of all flying phases of the aircraft are analyzed; 5, based on the above analysis result, models of vertical profile, horizontal profile and speed profile of track conjecture are constructed. Compared with a four-dimensional track model universally used in a control system, the four-dimensional track conjecture method based on historical track data mining has the advantages that the method is simpler and more practical, the precision for track conjecture is higher, and basic guarantees can be provided for key technologies such as collision detection and release, approach and departure rank, air traffic flow forecasting and flow allocation measure making in a new-generation air traffic system.

Description

technical field [0001] The invention belongs to the technical field of civil aviation air traffic management, and in particular relates to air traffic control conflict detection, air traffic flow prediction, arrival and departure sorting, track-based operation, design and verification of air traffic control decision support tools, and the like. Background technique [0002] The air transport industry plays an important role in promoting the world's economic and social development. Statistics from the International Civil Aviation Organization show that the global air traffic volume doubles approximately every fifteen years, and the operating capacity of the existing air traffic navigation system is close to saturation. In order to adapt to the rapid development of the aviation industry in the future and solve problems such as air traffic safety, airspace congestion, and flight delays, countries are committed to conducting research on new technologies to solve future air traff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G5/00G06F17/50
CPCG06F30/15G08G5/0095
Inventor 武喜萍刘宇杨波胡芹志
Owner SICHUAN UNIV
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