Abstract

This report uses event activations within the AddTrack system in order to predict train failures. The results show a difficulty in performing such failure predictions with any sufficient precision, since the best precision lies in the range of 70% to 75%. It is concluded that more data, as well as a better data quality, should enable improved predictions.