Layering ML for Advanced Accuracy and Operational Savings

June 23, 2020

FlightAware and Innov’ATM announced today the availability of FlightAware’s flight position, flight status, and FlightAware Foresight capabilities within Innov’ATM’s airport collaborative decision making (A-CDM) tool, AirportKeeper. The partnership will enable Innov’ATM’s airport customers to have access to global flight tracking data within their solution to optimize accuracy and predictability of airport operations.

“The partnership between FlightAware and Innov’ATM is a big win for anyone in the aviation industry who is interested in saving time and money,” said FlightAware’s CEO Daniel Baker. “The accuracy of Foresight predictive times paired with Innov’ATM’s domain expertise will help airports more efficiently allocate constrained resources like gates and ground handling crews.”

AirportKeeper, powered by FlightAware, will enable airport operations managers to optimize departures, arrivals, ground flows and resources management. "Information and decision sharing with the right stakeholder at the right time is one of the key concepts in the A-CDM environment” said Innov’ATM President Stephane Bascobert. “FlightAware data and Innov’ATM machine learning algorithms can help airports operate more efficiently with their constrained resources by anticipating where the aircraft will be avoiding potential future disruptions."

Leveraging FlightAware Foresight, Innov’ATM will also garner marked improvements in their own products, resulting in measurable benefits to their customers. By feeding their machine learning models with Foresight data, Innov’ATM is able to reduce taxi time prediction error by 55%, which will translate into estimated savings of up to € 133,466 per day at the busiest airports. The results were published as a white paper by Innov’ATM, “Reducing operational cost with Innov’ATM/AI – Episode 1: Ground holding time."