Abstract: A Fit-For-Duty network system and method that integrates several drowsiness detection devices with software analytics engine to more accurately predict, monitor and/or detect an actual unfit-for-duty condition or “positive event” in real time. The system monitors behavior based on changing operational conditions (such as speed of vehicle and pre-defined conditions, such as time of day and geographic conditions) to dynamically estimate both seriousness and probability of a positive event. Moreover, based on estimated seriousness and probability of a positive event the system self-initiates different levels of alerts ranging from light and sound, to connection to a third party intervener (an operations center), to stopping the vehicle.

Abstract: A Fit-For-Duty network system and method that integrates several drowsiness detection devices with software analytics engine to more accurately predict, monitor and/or detect an actual unfit-for-duty condition or “positive event” in real time. The system monitors behavior based on changing operational conditions (such as speed of vehicle and pre-defined conditions, such as time of day and geographic conditions) to dynamically estimate both seriousness and probability of a positive event. Moreover, based on estimated seriousness and probability of a positive event the system self-initiates different levels of alerts ranging from light and sound, to connection to a third party intervener (such as an operations center), to stopping the vehicle.

Abstract: The invention relates to a system architecture for controlling and monitoring components, in particular light signals, switches, rail circuits, rail junctions, passenger information systems, of a railroad safety installation. In order to improve the availability and the adaptability to changing environmental conditions, the invention provides that an automation platform which comprises a plurality of modules, in particular a CPU, a power supply, a module for safety-relevant signal processing, a module for non-safety-relevant signal processing and a communication module is connected via specific interfaces to safety-relevant and non-safety-relevant components of the railroad safety installation.