Inside Fatigue Science

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New Research: 3 Mine Sites Reveal Readi Can Predict 12X Higher Chance of Microsleeps

New research released today from Fatigue Science, the leader in predictive fatigue management technology, revealed the striking ability of its Readi platform to predict the likelihood of an operator’s microsleeps before high-risk work begins.
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How Driver Fatigue Affects the 7 Key Fleet Safety Metrics

Fatigue Science, the maker of the predictive fatigue management software suite, Readi, aims to make a difference in the trucking sector by enabling fleets to act on driver fatigue before critical moments occur.
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Featured in International Mining: Readi deployed by Newcrest, using ML to predict fatigue

We are thrilled to be featured in International Mining's latest article, highlighting the deployment of our predictive fatigue management technology, Readi, by Newcrest Mining at their Lihir gold mine in Papua New Guinea.
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US DoT Study: Readi’s SAFTE can predict 7.3x accident cost from fatigue

A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalizes a scientific fatigue prediction model for daily use by transportation fleets.
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The True Cost of Driver Fatigue for Your Trucking Fleet

Fatigue is a well-known hazard in the trucking industry, with truck driver fatigue being a leading causal factor of numerous roadway accidents every year.
Machine Learning predicts truck accidents via ELD data
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Machine Learning breakthrough predicts truck accidents and fatigue from ELD data, improving fleet safety records

Recent advances in Machine Learning are enabling trucking fleets to predict each driver’s probability of getting in a fatigue-related accident on any upcoming shift—before the driver gets behind the wheel.
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Predicting fatigue with machine learning

Enjoy this great article about supporting safety with technology featuring Readi FMIS published by Paul Adair, WDC Staff Writer for Women Driving Change magazine.