A methodology based on trajectory data analytics machine learning framework that characterizes and identifies the patterns of UTM airspace based on the analysis of simulated data to improve the performance of UTM network as well as ensuring its safety and capacity. Designing a recommendation architecture which works based on analysis received from machine learning framework by generating recommendation to achieve optimal air flow.