Dr. Samuel J. Frame (Cal Poly)

Title: Assessing Driver Risk using Mobile Phone Sensor Data

Abstract: Mobile phones and other technologies allow individuals, companies, and insurance providers to monitor driver risk. Monitoring (and predicting) driver risk has substantial implications for individual safety, driver training, company incident exposure, and pricing insurance premiums. Cal Poly Technology Park firm Mentor eData has developed a mobile phone application that acquires GPS data and provides users with a continuous driver risk score and trip summaries. In this talk, we first discuss using the Virginia Tech Transportation Institute's 100-Car Naturalistic Driving Data to estimate Mentor eData's scoring method. We also discuss providing feedback for driving phases and for risky driving events.