This review analyzes AI techniques for flight path optimization in air traffic control, indicating improved efficiency and safety under human supervision.
This paper reviews and analyses AI-based techniques, including Genetic Algorithms, Reinforcement Learning, Neural Networks, and Ant Colony Optimization, as decision support tools for Indian air traffic control using simulated airspace scenarios. The study highlights that hybrid AI-assisted approaches, operating under human supervision, can improve efficiency and safety while adhering to regulatory constraints.
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Bhavsar et al. (2026) studied this question.
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