Readi Overview
Readi fatigue risk management software provides real-time predictive insights into driver fatigue, allowing you to mitigate fatigue risk before it becomes dangerous. Our system uses advanced machine learning to provide accurate predictions up to 18 hours in advance (no wearables or invasive sleep tracking required).
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How Readi Works
Readi Integrates with All Major ELDs for Personalized Driver Fatigue Prediction
Explore how our technology uses Hours of Service data from Electronic Logging Devices (ELDs) as one of several sources of data that inform personalized fatigue predictions for each driver, generated in advance of every shift.
Validated Technology
The ReadiScore has been validated extensively by the US Dept. of Transportation, the Federal Aviation Administration, and many other public and private institutions.
The ReadiScore is the output of the SAFTE Biomathematical Fatigue Model, which was developed by researchers at the US Army’s Walter Reed Army Institute of Research. It has been studied and validated in 13 published independent papers. Our fatigue risk prediction has a validated 88% accuracy level.
Pulsar’s Fatigue Meter, on the other hand, uses schedule-based fatigue analysis and PVT testing but lacks extensive validation studies or publicly available accuracy metrics.
Impact Analysis
The Readi system has the ability to connect a driver’s fatigue scores to safety events to quantify the impact of fatigue mitigation on the organization.
A recent meta-study found that Readi could reliably predict if and when a driver would experience a 12x higher incidence of microsleeps vs. their baseline rested state. Additionally, the US Dept. of Transportation published a study revealing a 7.3x higher accident cost in cases where the ReadiScore had predicted high fatigue.
Similarly, two telematics studies conducted by Fatigue Science clients showed 8.5x higher incidence of harsh braking and a 4x higher incidence of speeding in cases where Readi had predicted high fatigue.
Pulsar Informatics, on the other hand, primarily offers insights into immediate fatigue risk based on PVT results and schedule data, lacking detailed impact analysis on safety events over time.
Full Cycle FRMS: Predicting Fatigue Risk Is Only the Start
Readi provides an organization with a full Fatigue Risk Management System. This means that a user can start and finish the fatigue workflow within the tools:
-Identify fatigued drivers
-Conduct a fit for duty assessment
-Evaluate and assign mitigations actions
-Analyze historical data to assess effectiveness of the actions and adjust policy and procedure accordingly
Predictive Safety, on the other hand, focuses only on identifying fatigued drivers.
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