An analysis programming language applied to the double delay problem in aviation

Seamless integration and interoperation of simulations has been a goal of simulationists for many decades. The goal of this research is to advance the field of simulation interoperability and our approach is for this to happen at the analysis level. In this paper, we are introducing a novel language called Predictive Query Language (PQL) that uses a federation of models to provide future predictions. It builds upon current predictive analytics systems in that it creates the data that will populate the database, rather than mining existing data. As an example of how this language works, we use the double delay problem in aviation. This example has dual purpose of showing the utility of PQL while shedding light on an important problem in aviation.