Author: Matt Fiorentino

One of CMT’s competitive advantages is the sheer number of active drivers on the road, millions more than any other telematics service provider. This data trains our machine learning capabilities,...

Cambridge Mobile Telematics determines vehicle usage with a sensor of a device affixed to the vehicle. The sensor provides a vibration signal associated with the vehicle, and that vibration signal...

Cambridge Mobile Telematics accurately measures longitudinal and lateral acceleration using raw three-axis accelerometer data from a smartphone that may be oriented arbitrarily in a moving vehicle or carried by a...

Cambridge Mobile Telematics provides vehicle trajectories and mileage inferences from smartphone location data in a battery-efficient manner. This is done through the method of map matching – processing inaccurate, noisy,...

Phone distraction while driving is generally understood as dangerous. Across the U.S., there are national awareness campaigns promoting slogans like “Don’t Text and Drive” and “It Can Wait” – you...