Research on Visualization of Airbus A321 Route Based on Google Maps

In order to visually represent the flight flow conditions of the target airport, the flight data are visually coded and presented, and these numerical data are converted into more intuitive graphic information. This paper analyzes the flight data of aircraft, designs a basic preprocessing method of intelligent extraction and visualization of flight path, visualizes the flight path of aircraft arriving or leaving the airport, and is used to assist air traffic flow management and planning. First, the available parts of the original Airbus A321 flight data are pre-extracted. Then, the parameter units are converted, the data is divided and intercepted, the track data is smoothed, and the track offset is corrected. Finally, a Keyhole Markup Language (KML) file is generated that can be parsed by Google Earth. Through actual test, it can process data and batch generate KML files that meet the requirements. The system has stable and reliable characteristics, and completes intelligent extraction and visualization of track data.