Driver risk evaluation based on acceleration, deceleration, and steering behavior

We propose a driver risk evaluation method based on the analysis of driving data captured with drive recorders. To evaluate the acceleration behavior of each driver we plot the maximum acceleration per minute to velocity on a two dimensional plane and approximate the distribution by linear regression. We assume that the higher the y-intercept of the line, the quicker the driver accelerates from a stop, and the higher the x-intercept, the higher the preferred speed of travel. To evaluate deceleration behavior, brake pedal operation patterns are classified into four types, based on how the brake is depressed and released. We evaluate deceleration risk levels based on these four braking pattern categories. Steering behavior is evaluated based on the relationship between the radius of road curvature and road design speed as defined in the road construction ordinance. Some correlation is observed between our evaluation results and those manually scored by risk consultants.