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Delays in air transport systems have a significant impact on the safety of aviation. We propose to use a trajectory of airplanes to estimate time of airplane delay. Surveillance data is obtained using the Automatic Dependent Surveillance-Broadcast receiver. A network of software defined radios is used to receive position reports of particular airspace user transmitted by airplane transponder of Mode 1090ES. Linear regression with a spline function is used for airplane trajectory approximation and time synchronization. Delays are estimated based on rapid changing of airplane altitude with respect to runway elevation in comparison with a scheduled time. Statistical data of airplane take-off time, landing time, and flight duration based on numerous historical flights is analyzed. Probabilities of airplane delays during take-off and landing are estimated with a help of the Kernel density function. Proposed approach …