DEVELOPMENT OF AN AIRCRAFT COLLISION AVOIDANCE SYSTEM AND ALERT SYSTEM INSPIRED BY TCAS ENHANCED BY AI

The AI-Enhanced Aircraft Collision Avoidance and Alert System successfully addresses critical limitations of conventional TCAS. By integrating an LSTM trajectory prediction engine with TCAS II-inspired coordinated RA logic, the system achieves a 34% reduction in false alarms, 28% improvement in trajectory prediction accuracy, and 1.8-second earlier advisory generation in multi-threat scenarios. Results across seven simulated scenarios demonstrate that AI-enhanced collision avoidance logic significantly outperforms rule-based systems in high-complexity airspace while maintaining equivalent safety in standard conflicts. This validates the feasibility of AI integration in aviation safety-critical applications.

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