The association of schedule characteristics of heavy vehicle drivers with continuous eye-blink parameters of drowsiness

Time for sleep science to wake up to drowsy driver monitoring

“…An important first step is to develop normative levels of DMS detected drowsiness, so that drivers or companies with drivers outside of this range can address potential underlying issues. Analysis of DMS data within companies can be used to assess the impact of different aspects of driver schedules on driver drowsiness, such as time of day, shift and break duration, and sequential shifts [ 11 ]. This could enable companies to identify the circumstances under which drowsiness is regularly occurring and adjust schedule features and implement countermeasures.…”