GHSA and CMT: Predictive data to reduce crash risks

The front dash of a car as someone drives it.
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The Governors Highway Safety Association (GHSA) and Cambridge Mobile Telematics (CMT) suggest advanced predictive analytics could prevent traffic deaths before they happen, according to the report, A Data-Driven Action Plan for Safer Roads.

People who use their phone while driving are 240% more likely to crash, according to the report. 

The report argues crashes can be predicted and prevented with the right data and resources. It also includes an action plan. 

Jonathan Adkins, GHSA's CEO, said in a statement: "We have the tools to save thousands of lives. What we need now is action. The advanced analytics we outline are validated, predictive, and provide a level of foresight that past generations of safety leaders could only imagine. This is a call for government, community, and corporate leaders to work together to help us move boldly into a new era of road safety."

Analytics using physics and AI tools can analyze roadway behaviors like phone handling, speeding, hard breaking and aggressive cornering. 

Hard braking is associated with 103% higher expected losses and excessive speeding with a 71% increase in predicted losses, according to the results. 

"We have information that can help save lives now," said Ryan McMahon, SVP of strategy for CMT, in the press release. "By leveraging these proven insights, we can empower public agencies and private partners to intervene earlier, smarter, and more effectively, turning the promise of predictive analytics into the reality of safer roads for everyone." 

The reports' call to action includes such items as federal law and regulation encouraging adoption of validated telematics risk analytics and predictive tools. 

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Auto insurance Telematics Predictive analytics Data Analytics
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