Global Air Transport Optimiser
GATO as a decision support tool to optimize air transport


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.

Emergency Squawk Detection System

The goal of the application is to monitor and collect distress signals sent by aircraft, in particular squawks 7500, 7600 and 7700. The system downloads ADS-B data from FlightAware in a real-time manner and stores filtered, normalized and aggregated records at ICM data repository.

An API in the form of RESTful web services is provided with a feed of current in-flight emergencies, including their importance, geographic features and time trends, as well as a query interface for past events. In addition, the system filters out false positives. The alerts related to current emergencies can be also actively fed to interested external parties (such as CAAs and ANSPs, etc).

Jan Malawko, PhD

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Poland Pavilion
1 October 2021 – 31 March 2022


From 10:00 to 22:00


“Mobility” sector Expo Dubai 2020

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