Risk Factors in the Smartphone Era
Using real-world data from hundreds of thousands of drivers, covering nearly a billion kilometers, and including about 1000 crashes and tens of thousands of near-crashes, Cambridge Mobile Telematics (CMT) analyzes how well different measurable risk factors predict the likelihood of a crash.
- How do traditional factors like mileage compare with traditional telematics factors like hard braking and acceleration, versus factors uniquely measurable via smartphones such as phone distraction?
- How does CMT make drivers better and safer? What methods work, and why? We share data from applications like Boston’s Safest Driver, EverDrive, and several others.
- How does driving quality vary by region and country? How well do regulations work to make drivers less distracted and safer; are penalties more effective than incentives?
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