Ita Airways implements SITA OptiFlight® to reduce fuel consumption and emissions with artificial intelligence
The company uses predictive analytics and machine learning to optimise the ascent phases, achieving significant fuel savings and a drastic reduction in CO₂ emissions.
by Mara Monti
Artificial intelligence is increasingly entering the heart of aviation and becoming a concrete ally in the sustainability challenge. ITA Airways has announced the adoption on its entire fleet of an advanced system, SITA OptiFlight®, capable of optimising the ascent phases of aircraft, with benefits in terms of fuel consumption and emissions.
According to the company's estimates, the use of the technology will save more than 7,100 tonnes of fuel and avoid the emission of more than 22,100 tonnes of CO₂. A significant achievement that demonstrates how digital innovation can have a direct impact on the environmental impact of air transport.
The system developed by Sita uses predictive analysis, machine learning and real-time weather data to calculate the most efficient climb profile for each individual flight.
Parameters such as speed, acceleration and altitude are thus optimised and adapted to the specific operating and atmospheric conditions.
One of the distinguishing features of the solution is the ability to create customised models for each aircraft, thanks to a multi-dimensional modelling that takes into account technical characteristics and flight context.
