Airplane Trajectory Analysis for Round-Trip Flights with ADS-B Data

Current weather has a significant impact on efficient flight planning in civil aviation. Configuration of areas with dangerous weather conditions, wind direction, and speed could not be precisely known at the pre-flight planning stage. Dynamic in-flight modifications of flight-planned trajectory based on current weather data can support efficient trajectory maintaining. Automatic Dependent Surveillance-Broadcast (ADS-B) supports civil aviation with precise coordinates of all airspace users. In the paper, we consider using a set of historical airplane trajectory data for particular round-trip flight connection to analyze trajectory variation based on current weather impact. We analyze parameter distributions with the help of kernel density function for total trajectory length and total flight time. Obtained distributions are useful for estimating confidence bands for a particular value of probability.