With so much being reported in the news about ELDs and Hours of Service (HOS), many are familiar the compliance and productivity benefits that come with accurate recording of hours driven. What may come as a surprise is how HOS data can be used to predict and prevent accidents.
How is this possible?
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 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.
If you want to learn more about how Omnitracs' Accident Severity Model and HOS data can predict and even prevent accidents, we encourage you to register for the final webinar in our popular 2016 Transportation Trends series, titled “The Accident Severity Model and How Driver Fatigue Impacts Safety.” Hosted by Drew Daly, Omnitracs Analytics' director of sales, attendees will have the opportunity to learn:
- Why fleets must go beyond HOS compliance to improve safety
- The impact of driver fatigue on accident rates
- How Omnitracs’ Accident Severity Model predicted 90 percent of severe accidents in the top 50 percent of drivers
Don’t forget to mark your calendar with the webcast details below, and register via the link for this very important session on safety and how it could transform your fleet.
“The Accident Severity Model and How Driver Fatigue Impacts Safety”
- Date: Dec. 16, 2015
- Time: 2:00 p.m. ET
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