A tool designed to estimate and mitigate the risks associated with accumulated tiredness. This functionality often utilizes algorithms based on factors such as sleep duration, work hours, and time of day to predict an individual’s alertness level. For example, a transport company might use this tool to assess whether a driver’s planned schedule complies with regulations regarding maximum driving hours and minimum rest periods, thus ensuring safer operations.
The implementation of such a system offers several advantages, including enhanced safety, improved productivity, and regulatory compliance. Historically, the need for such tools arose from industries where fatigue-related incidents carried significant consequences, leading to research into fatigue modeling and the development of predictive algorithms. The benefits extend to industries with extended or unscheduled work times.
