Securing air transportation safety through identifying pilot's risky VFR flying behaviours: An EEG-based neurophysiological modelling using machine learning algorithms

•The effects of weather and flight routes on pilots’ unsafe behaviour are revealed.•The moderation of these impacts caused by flight phases is investigated.•The neurophysiological modelling was built to recognising risky flight behaviours.•The optimal classifier's accuracy for identifying unsafe behaviour is 80.8%.