Milliman teamed up with Zendrive, a smartphone-powered driving analytics company, to study how distracted driving and other driving behaviors can lead to auto collisions. Using Zendrive data, Milliman verified the behaviors that were strong indicators of collision frequency and created a risk score to compare the “worst” drivers relative to the “best.” Their findings revealed that the worst 10% of drivers were over 13 times more likely to be involved in a crash than the best 10% of drivers. The results were based on one of—if not the—largest telematics data set in the United States. As of today, Zendrive has captured over 40 billion miles of driving behavior via smartphone sensors.
Smartphones can measure driving behaviors that traditional, first-generation telematics can’t, such as who is driving the vehicle and phone usage contributing to distracted driving. These new-age predictors contributed to a risk score that is over six times more accurate than the current industry leader models, which use traditional hardware-based telematics devices. There’s an opportunity here for auto insurers, especially commercial auto fleet insurers, to be early adopters of this technology, and improve their abilities to measure and rate risk.
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