Trajectory prediction using inference model

With the rapid increase in air traffic, more accurate aircraft trajectory prediction is the focus of integrated airspace operations for both manned and unmanned civil aviation. The development of machine learning technology is expected to bring new solutions to this problem. This paper processes and analyses aircraft trajectory data, and models aircraft trajectory prediction based on hidden Markov models, providing an efficient and accurate solution for aircraft trajectory prediction. Firstly, the trajectory data was pre-processed to provide effective support for the subsequent model formulation. Secondly, a trajectory prediction model was designed using the trajectory data and hidden Markov model. Finally, the performance of different models was compared and analysed through experiments.