Fleets utilizing Geotab's Safety Center, launched in February 2024, have seen a 5.5% reduction in collision rates in just four months.

Following this success, Geotab Inc. introduces new collision detection technology, leveraging AI and advanced data intelligence to support predictive insights. 

Geotab analyzed combined data from 4.3 million connected vehicles globally to train its machine learning models with new collision detection technology built to deliver more attuned collision detection and predictive analytics.

This technology could equip commercial fleets with increased data insights to detect and reduce collisions. The new collision detection technology accurately detects and categorizes collisions, distinguishing between minor (1.5-2.5 Gs) and major incidents (2.5 Gs and above).

Minor collisions often go unnoticed, and the new technology enables fleet managers to perform maintenance, address potential issues that could impact road safety, and avoid downstream consequences. Whether major or minor, collisions impact driver safety, vehicle performance, and maintenance costs. 

Accurate and near real-time collision detection enables quick responses, helps expedite the claims process, and identifies the causes of incidents for preventive measures like driver training and route adjustments. 

"Geotab's Safety Center shifts the focus from reacting to incidents to proactively preventing them. While safety scorecards have demonstrated improved driver scores, the relationship to collision reduction was unclear, a real-world challenge that our customers have asked us to solve," Sabina Martin, vice president of product management at Geotab, said.

The combined near real-time and predictive insights provide improved learning from historical incidents, risk identification, and more opportunities for preventive action.