Control Cost Simulation Data

Abstract

This simulation studies control cost in an airspace sector. The effects of autonomy ratio and traffic volume on control cost are exhibited. The research uses a Monte Carlo simulator framework which allocates directly controlled routes and autonomous self-deconflicting 4-D trajectory flows in the airspace. Several stochastic models of aircraft scheduling, navigation precision, and conflict detection and resolution are interconnected in the simulation. A Poisson process model is proposed for control cost.