Northrop Grumman Corporation is an American global aerospace and defense technology company, and is the fifth largest defense contractor in the world. They are partnering with the Federal Aviation Administration in developing the NextGen air traffic control system: The Terminal Flight Data Manager (TFDM) program. The project focus was to develop prediction models for runway assignments and taxi times to improve overall model accuracy and reduce associated costs. Machine learning and decision tree analysis were used to develop the runway model. Multi-factor regression was used to model taxi times, which were inserted into a client simulation to obtain expected queue length. Model findings included: 94% runway assignment accuracy; 21% and 27% standard error reduction for time and queue length respectively.