A two-step approach to aircraft conflict resolution combining optimal deterministic design with Monte Carlo stochastic optimization

This paper proposes a novel approach to aircraft conflict resolution where the design of an optimal conflict resolution manoeuvre based on the aircraft intent information is robustified against the uncertainty affecting the aircraft future positions by a randomized stochastic optimization method. The goal is to account for a probabilistic description of the uncertainty affecting the aircraft motion, while avoiding the excessive computational load of a pure Monte Carlo stochastic optimization method.