Thesis: AI-Based Trajectory Control in Shared Airspace
JUL 2026 — MAY 2027- Developing a Python-based Reinforcement Learning (RL) agent for the real-time trajectory control of aircraft.
- Simulating multi-aircraft environments and safety constraints utilizing the BlueSky ATM framework.
- Implementing autonomous speed and heading policies to optimize arrival times and prevent airspace conflicts.
- Evaluating the AI controller's performance across dynamic traffic scenarios using trajectory deviation and conflict metrics.