Multi-Fidelity Simulator (MFS)

Many next-generation air traffic algorithms may be formed by learning algorithms or dynamic programming techniques. These techniques form their solutions through iterative methods where the efficacy of a proposed solution needs to be evaluated for every round of iteration. In complex air traffic scenarios, often the only way to evaluate a proposed solution is to simulate the impact of the solution in an air traffic simulator. Such a simulator has to be fast enough to allow for many rounds of iteration. In addition, the simulator will have to be modular enough to allow modules to be created that simulate a portion of the airspace in detail.