Automated train driver competency performance indicators using real train driving data

On Train Data Recorders (OTDR) are used within the GB Railways to collect data relating to train operations and the state of various train systems throughout a journey. These data include power and brake controller position and driver acknowledgement of signaling system warnings. This data could be used to assess driver competency but an assessment framework is required to extract the data sensibly. This paper proposes a train driver competency framework to define aspects that are related to train driver functions based on documents analysis, cab-rides and informal interviews. It also explores the utilization of OTDR in the quantification of the train driver competency framework by introducing a number of indicators under each aspect covered by the framework. The proposed indicators demonstrate to how OTDR data can be useful in routine systematic checks and pre-incident investigation, for example, identification of the deviation from recommended rules that may have safety implications. Furthermore, the data may allow for improved understanding of driver performance that in turn could allow the development of more effective safety management strategies. A number of numerical example presented to illustrate applicability of developed algorithm.