Identifying strategic cooperation between airports, assessing the economic consequences of airline mergers and opening new, direct, long-distance, global communication connections – these are the challenges to which the new GATO analytical tool responds.

Global Air Transport Optimisation (GATO) has been developed by Interdisciplinary Centre for Mathematical and Computational Modeling (ICM) University of Warsaw and International Civil Aviation Organisation (ICAO) within a joint undertaking. The project has been in development since 2015.

Records of 3.5-4 billion passengers handled year-round by all global airlines have been gathered during the GATO project at ICM as a part of a global air passenger transportation data resource system. At the same time, ICM has developed a set of state-of-the-art decision making support tools for air traffic planning and optimisation.

ICM has already developed five application analytical modules: Airline, Airport, Country, Route, Air Freedoms and is preparing two additional ones – prediction models based on AI and machine learning – Route Profitability i Scenario Analysis. 

Tools developed during the project bring forward a new quality to aviation analytics by creating a fully integrated, continuously updated repository of air traffic data, flight schedules and attributes. GATO is currently the leading state-of-the-art Big Data aviation analytics system, which allows instant generation of high resolution statistics – either on global or country scale, or narrowed down on any carrier, single route, town, island or airport.