With over 180 billion miles of data driven, millions of drivers, and growing clients, we have insights to share about road safety, ways apps can learn to use driving behavior to improve their businesses, and more.
2020 was the year that changed everything, but how did it change the way we drive? Drawing from 185-billion miles of data, Zendrive’s Collision Report uncovers the underlying behaviors connected to crashes.
Get an overview of pandemic-era driving trends, U.S. driving behavior analyses for personal and commercial drivers, and state & major city mobility comparisons.
How dangerous are the drivers around your kid's school? We studied areas around over 125,000 schools nationwide and analyzed over 10.5-billion miles driven within them, and assigned a score to each school based on unsafe driving events detected by the Zendrive platform.
We found that the bottom 25% of fleet drivers accounted for roughly 50% of all collisions. This study analyzes these drivers’ substantial improvement on the road after being coached through the Zendrive Dashboard.
Zendrive data reveals that 69-million drivers use phones behind the wheel every day, much more than 660k daily distracted drivers reported by government data.
In 2018, we used our massive dataset and our machine learning algorithms to precisely measure driver risk. Rather than using proxy variables like age, homeownership, and education to rate risk, we looked at how people actually drove, including factors like phone use, hard braking, and more.
With our driving safety analytics tech, we mapped out areas around 75k schools nationwide and analyzed 3.4B+ driver miles driven within them to create safety report cards for schools, counties, and states across the US.
Using our driving safety analytics technology, we mapped out areas around 75,000 schools nationwide and analyzed over 3.4 billion driver miles driven within them. We came up with safety report cards (A+ through F, of course) for schools, counties, and states across the US.
For our 30-billion mile milestone, we conducted a granular analysis of our dataset with Milliman, a leading actuarial firm. With our massive dataset, we constructed a risk model that’s proven to be 6-times more predictive than industry leaders.
We aggregated and analyzed data from 3.1M drivers between December 2016 and February 2017 to explore the frequency and duration of phone use behind the wheel.