engleski

Method for selecting a set of air traffic complexity reduction measures for convective weather conditions

Convective weather conditions limit airspace capacity and affect air traffic complexity. Currently, air navigation service providers use complexity reduction measures that are empirically determined. The objective of this research is to develop a method for selecting a set of complexity reduction measures for convective weather. The complexity reduction measures are calculated for the traffic and weather scenarios based on historical data. Based on existing trajectory prediction models, an adapted trajectory prediction model with convective weather avoidance algorithm is proposed. The existing air traffic complexity model will be extended by integrating the interactions of aircraft and convective weather into the complexity calculation formula. This model will calculate the influence of complexity reduction measures on the complexity level in convective weather. After selecting the most favourable complexity reduction measure, it will be applied to the traffic scenario. The whole process is repeated until a desired number of measures has been applied. The use of the proposed model allows the selection of an appropriate set of air traffic complexity reduction measures in convective weather conditions.

Air Traffic Complexity, Convective Weather, Air Traffic Complexity Reduction Measures, Trajectory Prediction

nije evidentirano