POTENTIAL OF ARTIFICIAL INTELLIGENCE IN AIR TRAFFIC MANAGEMENT

Artificial Intelligence promises to transform Air Traffic Management (ATM), improving efficiency, safety, and decision-making. Despite its potential, challenges like regulatory complexities and integration barriers must be addressed, writes DR. S K SARASWATI

- DR. S K SARASWATI

While the concept of Artificial Intelligence (AI) has been in existence since the 1950s, its development has significantly accelerated in the last few decades supported by three factors: a) significant improvement in the capacity to collect and store massive amounts of data, b) significant increase in computing power and c) development of powerful algorithms and methods. e use of AI is spreading rapidly in every industry, with aviation and Air Traffic Management (ATM) making no exception. e progressive introduction of AI is expected to create a new ATM environment which will address issues like a) minimisation of delays, b) accommodating a diverse array of autonomous aircraft, c) operating in adverse weather, d) smoothing out 4D aircraft trajectories, and e) minimising environmental impact. is article discusses various aspects of ATM which can benefit from AI and challenges expected to be faced with the implementation.

Introduction