A Two-stage Improving Scheme on Intelligent Aircraft Trajectory Optimization

This paper focuses on the Intelligent Aircraft Trajectory Optimization (IATO) problem. A two-stage mixed integer programming model is proposed to minimize the travel route of the aircraft and the number of visited correction points. Two strategies called SP-MNCP and MNCP-SP are presented to reflect the actual engineering requirements in the intelligent aircraft controlling. The trade-off between the shortest path and the minimum correction points is investigated in detail based on the numerical experiments in the real-world scenarios.