Why should fleet managers monitor harsh braking and acceleration?
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Motor vehicle crashes remain one of the leading causes of workplace fatalities, averaging over 1,000 deaths per year according to recent data — most coming from heavy duty and tractor trailer trucking.1 While driving is a dangerous part of any job, fleets can help protect everyone on the road by emphasizing safe driving behaviors and reducing risky ones. Verizon Connect’s own data shows that drivers with repeat occurrences of risky driving events such as ignoring stop signs or speeding, are almost twice as likely to be in a crash.2
With fleet management systems, fleet managers gain new visibility into driver behavior, turning predictive data analytics into driver-specific profiles. This is a whole new dimension to fleet risk management, allowing them to look through the windshield so they can quantify, anticipate and manage risk before a crash occurs.
Moving from reactive safety programs to proactive fleet risk reduction using driver risk profiles is a critical step toward protecting drivers and the communities they serve.
Driver risk profiling is the safety practice of identifying patterns in driving behavior that indicate a higher likelihood of future incidents. It’s not about assigning permanent labels to drivers or reacting to one bad day behind the wheel. It’s about recognizing consistent behaviors that take place over time and understanding what those behaviors mean for safety outcomes.
In practical terms, a driver risk profile reflects trends such as:
Taken together, these patterns paint a picture of risk that’s far more useful than any single incident report. They help fleets move from broad, one-size-fits-all safety programs to more targeted approaches that address the behaviors most likely to lead to collisions.
Fleet risk profiling is operationalized through safety scorecards and behavior-based analytics that continuously assess how drivers perform on the road. This is how telematics platforms reduce accident risk, among other features.
Rather than relying on manual evaluations or waiting for compliance violations to reveal problems, today’s platforms analyze driving behavior automatically and identify trends that point to elevated risk.
At Verizon Connect, this approach takes shape through driver safety scorecards that translate raw driving data into a clear, consistent view of risk. Instead of producing a single, permanent "risk score," these scorecards provide an ongoing snapshot of how a driver’s behavior is trending week by week, month by month.
Telematics-based safety scores highlight behaviors such as hard braking, harsh acceleration and hard cornering.
When AI dashcams are in use, dashcam video-based safety scores add critical context by identifying behaviors like tailgating, rolling stops, speeding, distraction and seat belt use, including the events most closely linked to future collisions.
The AI algorithm conducts a fleet driver risk assessment using these factors, categorizing them according to severity, noting frequency and distance traveled and weighing them alongside each other to develop a score for each individual driver. The safety score is a number between 0 and 100.
High collision predictors are driving behaviors such as hard braking, tailgating and posted speed exceeded. These behaviors result in a higher point reduction of the safety score, compared to lower collision predictors such as smoking.
With AI-powered predictive safety analytics, fleets can see how certain driving patterns consistently appear before serious incidents occur. Verizon Connect data shows just how predictive certain behaviors can be, per 1000 km (about 621 miles):
This is why driver profiling is essential for overall fleet risk management. Not only can these profiles and associated scores point to drivers who may be at risk of crashing, they can also provide the information needed to effectively and proactively change driver behavior so they can perform at a lower risk level.
Risk profiling isn’t effective without a few key elements that allow it to be dynamic. These include:
When these elements work together, fleet driver risk assessments become more precise and when combined with the coaching opportunities that follow, can even help impact a fleet’s CSA score.
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When fleets move from reactive safety management to proactive risk identification, the impact shows up across the operation.
Together, these outcomes turn risk profiling into broader strategy for operational resilience and even potentially cost savings.
No safety program succeeds without trust. For driver risk profiling to deliver real results, it has to be transparent, fair and focused on improvement not punishment.
Data shows why this approach matters: 80% of crashes involve drivers whose safety scores rank them in the bottom half of a fleet,2 making early intervention through driver coaching one of the most effective tools fleets have for reducing serious incidents.
Driver risk profiling represents a shift in how fleets think about safety, from reacting to incidents to anticipating them. By focusing on behavior patterns instead of isolated events, fleets gain a clearer view of risk and a better opportunity to change outcomes.
When paired with predictive safety analytics and practical driver coaching tools, this approach supports meaningful fleet risk reduction. It helps protect drivers, control costs and build a stronger safety culture that holds up under scrutiny.
Discover how Verizon Connect can help you bring predictive safety into everyday operations and turn driver risk profiles into a proactive strategy for preventing the next collision by booking a demo today.
1 https://www.bls.gov/news.release/pdf/cfoi.pdf
2 Aggregate Verizon Connect customer data
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