Reduce errors

Customer-based data from 24-hour operations around the world consistently reveal JDS scores and in-cab drowsiness warnings closely resemble the known circadian rhythm of alertness and drowsiness. This information provides drivers, managers and companies with objective information regarding the times of the day when drivers are most at risk of fatigue-related incidents.

The risk of such incidents is typically found to be greatest during night-shift, particularly during the early hours of the morning. These patterns of driver risk are also consistent with the known relative risk of truck fatalities for each hour of the day.

Trend-analysis and benchmarking of customer data also allows Optalert to profile the fatigue-related risk of individual sites and companies. This type of analysis provides customers with objective evidence for the overall reduction of fatigue-related risk from the continued use of Optalert technology over time.

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