Evaluating the Efficacy of Innovative AI Applications in Civil Aviation Safety and Maintenance Operations
Keywords:
Artificial intelligence, Civil aviation, safety and security, Aviation operations and maintenanceAbstract
The civil aviation industry has witnessed unprecedented growth in recent years, driven by increasing global connectivity and demand for air travel. However, this rapid expansion has also brought heightened concerns regarding safety assurance and operational efficiency, which are now recognized as pivotal factors for sustainable development in the sector. In response to these challenges, artificial intelligence (AI) technology has emerged as a transformative force, leveraging its advanced capabilities in data processing, predictive modeling, and automated decision-making to revolutionize traditional aviation practices. This study explores the innovative applications of AI in civil aviation safety and operational maintenance, focusing on four key areas: flight risk prediction, air traffic management, predictive maintenance, and airport resource scheduling. By analyzing real-world case studies and synthesizing existing literature, the research demonstrates how AI-driven solutions can enhance aviation safety through early risk detection and mitigation, optimize air traffic flow to reduce congestion and delays, predict equipment failures to minimize downtime, and efficiently allocate airport resources to improve overall operational performance. The findings highlight the significant potential of AI to not only improve safety standards but also reduce operational costs, thereby contributing to the long-term viability and competitiveness of the civil aviation industry.
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Copyright (c) 2025 Cheng Zheng
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