Mid-term air traffic conflict detection method based on 4D flight path and radar data

Abstract

The invention discloses a mid-term air traffic conflict detection method based on 4D flight path and radar data, which relates to air traffic control automation. In the method, accurate 4D flight path data and real-time radar data are projected onto a display panel of an air traffic control system, each aircraft pair is filtered according to the accurate 4D flight path data and the real-time radar data, and aircrafts which are unlike to come into conflict with other aircrafts in 30 minutes are determined; and the detection is focused on the aircraft pairs which have potential to run into conflicts, the covariance between the relative speed and relative position of the aircraft pairs is calculated by using coordinate transformation according to the vertical interval and time interval of two aircrafts, and then the probability that a predicted position interval is smaller than a safe interval at time t is calculated and a detection report is made. In the invention, the drawbacks of long-term and short-term conflict detection are overcome, and the long-term conflict detection, mid-term conflict detection and short-term conflict detection are combined to ensure flight safety. The average conflict detection time is about 0.028 seconds, and the method has high real-time performance.

Description

technical field [0001] The invention relates to computer application technology, in particular to an air traffic control automation system. Background technique [0002] With the rapid development of my country's aviation industry, the air transport industry has made important contributions to the country's economic development on the one hand, and on the other hand, the increasing air traffic flow and airspace density have greatly increased the risk of collision between aircraft It poses a serious threat to flight safety. In order to ensure the safety of air traffic, prevent dangerous approaches or even collisions of aircraft, and maintain normal flight order, the International Civil Aviation Organization (ICAO) has clearly stipulated the safe separation between aircraft. [0003] In ICAO D0C9854, conflict management in air traffic control is divided into three levels, namely, strategic conflict management, separation assurance and airborne collision avoidance. Among them,...

AI Technical Summary

Problems solved by technology

Since the error of the aircraft position, altitude, and time information estimated in the trajectory estimation will increase with the increase of the push-back time, the error of this long-term conflict detection will also increase with the increase of time, affect its accuracy, which requires a more accurate method to rule out potential flight conflicts again after long-term conflict detection

Short-term conflict detection is based on the radar track during the execution of the flight plan. Since it is completely based on the radar track, it can only detect in a short period of time, and cannot predict the conflict after a long period of time. aircraft's flight intent, so a method is needed that can detect conflicts based on radar tracks with a longer delay than short-term conflict detection

Images