• Project ID SafeOPS
  • Project duration 2021-01-01 > 2022-12-31
  • Cost
    • Total EUR 997.750,00 €
    • EU Contr. EUR 997.750,00 € €
  • Status Ongoing

AI technologies are critical enablers for the digital transformation of air traffic management. They are capable of delivering reliable predictive analytics based on automated information processing, to support controllers making often complex decisions. But with them come new challenges for the controllers and their training, as well as for regulators and certification agencies. SafeOPS aims to address these challenges to ensure the safe introduction of big data analytics.

The project will fuse confidential aviation data and carry out go-around predictions to analyse in detail their impact on the safety and resilience of ATM.
A special focus will be placed on the interaction among humans (controllers) and within the socio-technical system under the influence of this breakthrough technology. 

Participants

TECHNISCHE UNIVERSITAET MUENCHEN (Coordinator)

FUNDACION INSTITUTO DE INVESTIGACION INNAXIS

DFS DEUTSCHE FLUGSICHERUNG GMBH

DEEP BLUE SRL

PEGASUS HAVA TASIMACILIGI ANONIM SIRKETI

IBERIA LINEAS AEREAS DE ESPANA SA OPERADORA

This project has received funding from the SESAR Joint Undertaking under the European Union's Horizon 2020 research and innovation programme under grant agreement No 892919

European Union