The Federal Aviation Administration is developing an AI-based software called SMART (Strategic Management of Airspace Routing Trajectories) to predict airspace conditions days, weeks, or months in advance, according to FLYING Magazine. This SMART system aims to extend the prediction of flight path conflicts from 15 minutes to two hours in advance, according to eplaneai. These advanced AI tools for air traffic control are designed to fundamentally change how controllers manage potential issues, shifting from reactive to proactive strategies.
The FAA is making significant strides in hiring new air traffic controllers and developing these advanced AI tools. However, it simultaneously faces thousands of vacancies and requires billions more in funding for its custom software needs.
The modernization of air traffic control through AI will likely be a prolonged and expensive process. Its success hinges on continued congressional funding and the FAA's ability to navigate complex custom software development.
Beyond SMART: A Broader AI Strategy Takes Shape
The FAA plans to build customized AI software to streamline schedules and traffic flow. The agency desires a centralized automation platform for easier training and safety enhancements, according to FedScoop. Three companies are working with the FAA on software intended to improve how flights are managed across the National Airspace System, according to AVweb. The FAA is also evaluating proposals for a new artificial intelligence-based air traffic management tool to help controllers identify potential conflicts and congestion earlier, AVweb reports. A comprehensive, multi-faceted approach to leveraging AI not just for conflict prediction, but for overall system efficiency and controller support is indicated by these initiatives.
The Billion-Dollar Challenge of Custom AI
The Department of Transportation needs an additional $7 to $10 billion to upgrade the software for the air traffic control system, according to CNN. Additional funding is sought despite Congress having allocated $12.5 billion as a 'down payment' to upgrade the air traffic control system, CNN reports. The initial congressional allocation, while substantial, is insufficient to cover the specialized software development required for modernizing the system with AI, indicating a significant underestimation of the true cost.
