The system from Sygic evaluates the user’s driving style in real time with four variables: speed, acceleration, braking, and cornering. It also looks at a distraction factor analyzing whether the driver is touching or using a mobile phone while driving. The more carelessly mobile app users drive, the lower the score is.
The algorithm uses phone sensors combined with unique technology developed by the Sygic team to get all inputs even without an internet connection. This allows for easy integration into any automotive or fleet solution. Cars with compatible connectivity, e.g. Smart Device Link (SDL), can even get access to built-in sensors in the car for an enhanced experience and reliability. After each trip, the score is evaluated and saved in the Trip Log and can be sent to the backend and is used as a source for big data analytics, machine learning, and data mining.
“What is so unique about this innovation, is that we can process it in real time and provide prompt feedback to the driver to improve his style while driving to reduce dangerous behavior proactively,” said Sygic CEO Martin Strigac. “Instead of late reports or dashboard with the trip log, we can educate and encourage them in a fun way by integrating our enterprise gamification features such as coaching, rewarding or social elements,” added Strigac
The algorithm can be integrated into a wide range of solutions, including corporate car and truck fleets or insurance companies. Using wide knowledge and data from 200 million users worldwide, it can reliably replace expensive hardware solutions. All modules extend the existing Sygic Mobile & Navigation SDK platform and Sygic Maps modules to make them available for third-party development teams.
According to the case study Driving for Work from Iron Mountain, the adoption of driver behavior telemetry in fleets delivers a return on investment within eight months. Companies which used driver scoring recorded a decrease of incidents by 87 percent and maintenance by 30 percent.