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Featureless Traffic Monitoring

This Summary Paper proposes a conference paper on applying deep learning to real world air traffic control management. Learning from a life long history of monitoring air space, a radar may build expertise on what constitutes ‘normal’ air traffic or what could be considered ‘special’, like the cases of renegade detection in civil aviation or for instance border crossings in military aviation. NATO has a special interest in ‘renegade aircraft’, which triggers research into deep learning for air traffic control flows. Currently at the level of simulations, any results may be applied to real world radars in the future. The proposed paper contains the analysis of a simulated air traffic control flow with the occasional appearance of renegade aircraft.