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E-PILOTS will pave the way towards single pilot operations for commercial air transport by creating a 'human-machine symbiosis', where machine learning operates hand-in-hand with the crew. One of the machine learning algorithms functions as a prediction tool for an adverse event, using ߣߣÊÓƵ’s extensive Flight Data Monitoring database. This will be complemented by another algorithm that monitors the crew’s cognitive states. This concept will be demonstrated through a case study involving go-around decision-making in the Rolls-Royce Future System Simulator at ߣߣÊÓƵ.

Progress update

After two years, two machine learning algorithms have been developed: one to predict hard landing events, and the other to monitor the pilot’s cognitive states in terms of mental workload. In 2021, these algorithms will be incorporated into ߣߣÊÓƵ’s Future System Simulator, for verification and validation of the use case using airline pilots. All learning points from this project will be consolidated into a roadmap, that outlines the required initiatives and time frame for the realisation of single pilot operation in commercial air transport.

Further information

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