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Using Data to Improve Driver Safety

By Adam Danielson, Director of Sales, SuperVision

Safety is one of the fleet industry’s most critical issues as it seeks to reduce crashes and improve safety standards. The benefits of creating a robust fleet safety culture go far beyond reducing crashes, it can also improve the entire organization while mitigating risk. Organizations have an ever-increasing flow of data that they can use to make their fleets safer. Acquiring the data is only the first step — if the business does not act on what the data is showing, safety improvements are left on the table and the organization opens itself to liability risks.

In its infancy, safety and accident analytics were reactive, focusing on motor vehicle reports (MVRs) and analyzing broad-based data per million miles. In the last ten years, fleet safety programs have become an industry standard. Aimed at reducing accident frequency and severity, safety program tactics like established safety rules, comprehensive driver training, regular inspections, and maintenance have become essentials in operating a safe fleet. While fleet safety programs are now standard practice, they remain reactive to static, safety data. The need for real-time data has become apparent.

Continuous MVR monitoring is real-time and web-based making monitoring drivers’ risk profiles related to their licenses almost effortless by comparison to the annual MVR check. When combining continuous MVR monitoring, fleet safety programs, ADAS technologies, CSA scores and telematics, the result is the beginning of a very robust safety culture and an emerging real-time holistic picture of the driver. The drawback is A LOT of data is created; too much data for the average fleet manager to gather, manage and use effectively.

This open firehose of data can be harnessed. To make the data actionable a few things need to happen: automation, normalization, and aggregation. Once the data has been made actionable, fleet managers are able to use the data to improve driver safety with benchmarking, driver score carding and predictive analytics.

To learn how to create and use actionable data, download SuperVision’s latest white paper “Using Data to Improve Driver Safety”.

 

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