With the passage of the ELD mandate, fleets are beginning to acclimate to the new reality of electronically capturing their drivers’ hours of service (HOS). As they do so, many have made the pleasant discovery that with all of the HOS information that their ELD captures, they can go beyond compliance, and improve safety. They can even go as far as to use the data to predict and prevent accidents.
When used with Omnitracs’ Accident Severity Model, fleets can identify the highest risk drivers who are most likely to be involved in a serious accident, thereby enabling proactive intervention and education, such as sleep science, to prevent accidents, reduce related expenses and enhance overall safety. Interestingly—and unfortunately—it is possible to be 100 percent compliant with HOS regulations and be sound asleep at the wheel, simultaneously. Omnitracs’ Accident Severity Model helps to combat this.
To learn how this is possible and more about the fascinating world of commercial vehicle analytics, mark your calendar with the below webinar details hosted by Transport Topics. With an introduction to predictive analytics and how HOS data can pinpoint the drivers most at risk for a severe accident, you’ll hear firsthand how Dayton Freight Lines tackled driver fatigue head-on through proactive sleep science training.
- Date: April 14, 2016
- Time: 2:00 p.m. ET
- Webinar Title: “Leverage Hours of Service Data to Identify At-Risk Drivers and then Turn Them Around through Sleep Science”
- Presenters: Drew Daly, director sales, Omnitracs; Lauren Domnick, director analytics and modeling, Omnitracs; Derek Kirby, director of safety, Dayton Freight Lines
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