Netradyne RiskMap Identifies Risks on Specific Routes
Netradyne has announced a new feature for analyzing driver risks based on the route called Driveri RiskMap, allowing fleet managers to visualize a more complete picture of fleet behavior.
by Staff
March 27, 2018
RiskMap shows degree of risk for traffic lights or speed on a given road. The larger the circle, the greater the volume of risk. The redder the circle, the more severe the risks.Photo: David Cullen
2 min to read
RiskMap shows degree of risk for traffic lights or speed on a given road. The larger the circle, the greater the volume of risk. The redder the circle, the more severe the risks.Photo: David Cullen
Netradyne has announced a new feature for analyzing driver risks based on the route called Driveri RiskMap, allowing fleet managers to visualize a more complete picture of fleet behavior.
The RiskMap mapping feature recognizes and clusters specific driver behaviors which represent favorable or risky situations for the driver, fleet, or general public. This allows managers to review and evaluate risk areas and modify fleet operations and routes to increase safety or all parties involved.
Ad Loading...
“It will be a value-added option to the Netradyne Driveri when released, which will be soon,” said Adam Kahn, vice president, fleets for Netradyne. “The aim is to help fleets identify risks on the road that can impact safety and efficiency.”
In addition to identifying potentially dangerous roads, Driveri RiskMap utilizes Driveri's data visualization tool to communicate other unfavorable road conditions such as heavy traffic congestion, reduced following distance, dangerous intersections, speed relative to traffic, and incidents of vehicle damage so managers and drivers can efficiently plan their daily routes.
Fleets can use the information to identify and prioritize risks associated with their business and recognize safer roads so they can be used more often.
"We can now offer our fleet community visibility into geographic areas with the highest risk factors and those that are conducive to safe driving. Legacy safety technologies only collect a small amount of 'triggered' data, which makes them unable to identify data visualization trends." said Kahn. "Driveri RiskMap utilizes several hundred minutes of data captured and analyzed per vehicle per day, providing a deep understanding of geographic areas to focus on."
Distracted driving remains one of the most persistent risks in fleet operations. New approaches focus on removing mobile device use entirely while adding real-time safety support.
As distraction risks evolve, fleets are turning to smarter, more connected technologies to better understand what’s happening behind the wheel. Part 2 explores how these tools are helping identify risky behaviors and improve visibility across operations.
Distracted driving is often measured by what we can see—phones in hand, eyes off the road. But what about the distractions we can’t? A recent incident raises a bigger question about awareness, attention, and why subtle risks so often go unnoticed.
Fleets have more driver data than ever, so why isn't behavior changing? Training requires more than reports and coaching — it requires real-world practice.
A two-part conversation with Stefan Heck on how AI is transforming the fight against distracted driving. As fleets adopt smarter tools, the focus shifts from reacting to preventing risk. In Part 1, we look at where AI is making an impact for fleets today.
An 11% drop in pedestrian fatalities in early 2025 signals progress in U.S. road safety, but elevated death rates and ongoing risks underscore the need for continued action from fleets and policymakers.
