Coexistent Operation of ERTMS and Train Protection Systems (AWS and TPWS) – Data Collection Methodology for the User Testing of the Driver Machine Interface

As the European Rail Traffic Management System (ERTMS) is rolled out across the UK rail network, it will be required to operate together with older train protection systems (Automatic Warning System (AWS) and Train Protection... [ view full abstract ]

As the European Rail Traffic Management System (ERTMS) is rolled out across the UK rail network, it will be required to operate together with older train protection systems (Automatic Warning System (AWS) and Train Protection Warning System (TPWS)). This is necessary because the implementation of ERTMS will be gradual and trains will be required to operate over both conventionally signalled infrastructure and ERTMS fitted infrastructure. To accommodate this coexistent operation, train protection systems will be displayed via the ERTMS Driver Machine Interface (DMI). It has been identified that research is needed to support industry in defining the requirements for the display of AWS/TPWS on the DMI. The goal of the study was to present the driver with consistent system behaviour and an intuitive display, irrespective of the system supplier or train class. The application of a human factors approach aims to make the operation of these systems as simple and safe as possible. There are two versions of the DMI, touchscreen and softkey, both were considered in this research. Trials were completed with 20 train drivers from a range of different passenger and freight operating companies. Participants each completed 10 operational scenarios on a purpose-built simulator. The usability of the proposed controls and indicators on both a touchscreen and softkey DMI were tested. Driver interactions with the system were observed and errors, comments and recommendations recorded. As a result, a new design was produced. Overall, the proposed DMI design received a positive response from potential users and participants were quick to learn the processes required. The outputs from this research will feed into the development of relevant industry standard documentation.