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Tuesday, September 09, 2025

Day & Ross plans further rollout of fatigue management tech after successful pilot

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Day & Ross has completed a fatigue management pilot program it says proved valuable and now plans to roll it out across more of its fleet.

The 5,000-truck fleet used Fatigue Science’s Readi fatigue prediction system to help identify and reduce fatigue-related risk in its longhaul and overnight trucking operations.

Picture of a Day & Ross truck.
(Photo: Day & Ross)

The Readi platform is non-wearable and provides fatigue insights up to 18 hours in advance, the company says, allowing dispatchers to proactively intervene with at-risk drivers before incidents occur.

“Safety is our top priority and that includes tackling driver fatigue. As we introduce new technologies to enhance our safety program and help our teams better support the health and safety of our drivers, this pilot proved to be a valuable step in proactive fatigue risk mitigation,” said Laura Dickinson, vice-president, safety and compliance at Day & Ross.

“Our dispatchers found the platform easy to use, and we saw clear momentum as teams began incorporating it into their daily routines. We are excited to continue rolling out Readi in Canada and the United States.”

Dispatchers monitor driver fatigue in real-time using Readi dashboards integrated with Platform Science/PeopleNet telematics. There were 155 drivers include in the pilot. Supervisors would log interventions such as rest breaks or route adjustments based on fatigue scores.

According to Fatigue Science, the pilot exceeded benchmarks with 70% driver participation in fatigue assessments and a high volume of fatigue countermeasures were logged by dispatch and safety teams.

“When you combine ease-of-use with predictive insights, you get engagement — and more importantly, impact,” said Andrew Morden, CEO of Fatigue Science in a press release. “Day & Ross team set the bar with how quickly they operationalized Readi.” The Readi program doesn’t require in-cam cameras or wearables, making it easy to deploy, the company says. It generates personalized fatigue scores based on each driver’s actual sleep history.





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