Profiling Driver Event History

All motor fleet operations generate or collect various data on their driver’s performance:

  • Violations/Tickets
  • How’s My Driving Alerts
  • Crashes (at-fault, preventable, etc.)
  • Telematics (GPS, EOBR)
  • Driver Logs
  • Toll Receipts (EZ Pass, etc.)
  • Automated enforcement violations (which come direct, not through MVR data)

Additionally, fleets track information about other types of driver “events”:

  • Completion of training classes (online, classroom, tailgate talks, etc.)
  • Completion of year or years with no crashes (ie. Awards)
  • Internal Company Violations
  • Customer Complaints
  • Supervisory Observation Reports

Historically, each of these data sources have been in their own “silo” or “compartment” — but what if we could get all of this data together in one spot?  We could:

  • Another example of a blended scoresegment all drivers by relative risk taking behaviors
  • segment all drivers by crash risk
  • segment all drivers by age, tenure, training completed and then compare their crash histories to build a profile
  • determine which factors precede a collision (i.e. how many incidents, which types of incidents, etc.)
  • assign a predictability score to each driver based on actual data trends and schedule them for additional coaching or training to modify their habits and risk taking.

More simply put, we’re trying to leverage data to build awareness and reduce crash likelihood.

Fantasy?  Millions of dollars needed?  Nope. It’s real, and it’s happening right now among some of the nations largest fleet operators.

Imagine searching through 6500 driver records to find the “at-risk” needles in the haystack. Now imagine doing that with the push of one button.

One of several SafetyFirst clients implemented our E-DriverFile system three years ago on a pilot basis, but then rolled it out to their entire corporation.  This enabled them to cut the number of “at-risk” drivers in half within the first year simply by targeting their current training and supervisory resources on those people at greatest risk of becoming involved in a collision?

Pyramid 2011 for blog

Further, our new, online safety training modules are laser cut to fit specific issues surfaced by our How’s My Driving Hotline and our E-DriverFile profiling system.  These modules zero in on those risk taking habits, and remind drivers that there are serious consequences to the choices they make when behind the wheel.

At five to seven minutes each, they represent the next generation of online learning — focused, sharp, brief, emotive and able to convince drivers to “internalize” the need and desire to driver more safely — to make wiser choices — to take fewer risks.

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To learn more, call us toll free at 1-888-603-6987

Copy of Copy of EDF LOGO (final)

Managing Risk Thru Driver Points

For many fleets, the MVR review process is a time consuming, energy draining project done annually.  The paper produced by the project can represent great insights or merely a pile of paper. 

Progressive fleets have been working over the past decade to streamline their process by moving from spreadsheets and PDF files to “granular data” on each driver that can be sorted, sliced and diced.  This granular data of violations can be matched to a point system, and even blended with other data such as historical crash data (preventables, at-faults, or all incidents), telematics alerts, How’s My Driving reports, or other indicators.

While fleets have collected this data in the past, collating it has been an uphill battle since data layouts were not compatible, or, in some cases, difficult to get from one system to another.

Another example of a blended scoreConsider the image at right.  This driver has a lot of data and a lot of activity. 

Initially, many would simply dismiss the driver outright, but upon closer examination, you can see some interesting patterns in the data. 

From 2005 to 2010, there are five speeding events in five years (although three occured in 2008).  In 2011, there were two motorist complaints about driving too fast, dishonoring the right of way and failure to stay in lane.  The next event to occur was a crash in August of 2011 when the driver hit another vehicle in the rear. 

Another crash happened in January 2012 (and was cited for careless driving on same date), then another complaint about lane change, signals and driving too fast for conditions in June of 2012. 

Management had indicators that this driver tends to rush. 

  • Was there any direct observation of the driver to determine whether they allow proper following distance? 
  • Was there remedial training provided and completed? 

The system that produced this report can be expanded to show the remediation events (and, in theory could provide negative points for successful training, etc.)

At issue isn’t just one particular driver, but locating those drivers who are most likely to be involved in collisions based on patterns of behavior, or who’ve had one crash already and may be ready to have a subsequent crash.

The National Association of Fleet Administrators (NAFA) recently posted the following video about driver point systems:

SafetyFirst’s E-DriverFile program has been ordering and processing these reports for years for clients with as few as 40 drivers and as many as 7,500 drivers. The system does much more than report on these metrics and can even help those fleets who are regulated by FMCSR.

How does your organization handle MVR point systems?  Do you have a database program?  Is it largely manual?  Can it automatically order fresh MVRs on higher than average risk drivers quarterly?  Would you save time if all this data was in a single spot?

Can we show you how our program works for larger, multiple location fleets?