HMI4Rail – Smart Sensor for Human Factors in Railway Systems
HMI4Rail – Smart Sensor for Human Factors in Railway Systems
The aim of the HMI4Rail project is to investigate technological approaches for mobile, body-worn systems for measuring the driver's ability to act.
In the railway sector, the current driver assistance systems will be transformed into automation systems. The introduction of automation (e.g. GOA2 and GOA3) and remote control will make a significant contribution to increasing efficiency in the railway sector. These systems will combine assisted, teleoperated and automated steps and will be suitable for train and shunting movements as well as for stabling/feeding movements in workshops and stabling facilities. In addition to the technical design of the functions of such autonomous systems, there are also questions regarding the effects on the involvement of railway personnel and their interaction with the technical automation system. This in particular gives rise to new technological requirements for human-technology interaction.
The aim of the HMI4Rail project is to develop a modular, miniaturised, textile-integrated sensor system that supports railway personnel with the changing requirements resulting from the automation of train operations. With the help of intelligent data linking, sensor data such as breathing rate, heart rate, metabolic parameters and movement are to be combined to reliably record the current performance and health status of train drivers.
In order to better understand and precisely interpret the underlying psychophysiological relationships, the DLR Institute of Transportation Systems is recording physiological stress profiles using a mobile sensor network. These measurements take place both in real driving situations on the SRCC test track and in a "virtual railcar" in the simulation laboratory of the DLR Institute of Transportation Systems.
A central goal of the project is the development and testing of a virtual development environment for assistance systems for automated train operation. By comparing the data collected in the laboratory and on the test track, future assistance systems can be tested in advance in a virtual environment. This enables a considerable reduction in costly real driving tests and saves valuable resources and development time.
The project thus makes an important contribution to technological development in the field of automated train operation and strengthens the safety and health of railway personnel.
Preparation of the test by the RailSET® project consortium at DLR Braunschweig.
