If technological progress can be measured by the number of transistors on an integrated circuit, how should advancements in aviation safety be quantified? Research from the Massachusetts Institute of Technology (MIT) suggests that commercial air travel is becoming safer at a rate analogous to Moore’s Law, with the probability of accidents decreasing exponentially as technology and industry standards evolve.

Central to this trend is the Fatigue Risk Management System (FRMS), a science-based, data-driven approach designed to identify, assess, and mitigate risks associated with fatigue among pilots and other aviation personnel. FRMS encompasses multiple aspects of operations, from flight scheduling and rest periods to health monitoring, ensuring fatigue-related risks are minimized at every stage.

The successful implementation of FRMS relies on collaboration across stakeholders, including airline management, pilot participation, and regulatory oversight. By adopting robust FRMS protocols, airlines enhance operational efficiency while prioritizing the safety of passengers and crew. As artificial intelligence and big data technologies advance, FRMS is expected to become more precise and adaptive, further safeguarding the aviation industry.