A 4-D trajectory prediction model based on radar data

Trajectory prediction is the core support tool of collaborative decision making in air traffic control. This paper presents a four-dimensional trajectory prediction model, which is based on history and real-time radar data. Before a flightpsilas departure, its trajectory is worked out by analyzing its history flying data. After its departure, the predicted trajectory is being updated with the real-time radar data. This model does not rely on aerodynamics and can predict trajectory for the whole flying process. Emulation result shows that the prediction of this model approximates actual flying data and can provide better support to air traffic control systems.