For active safety application, we developed a system that estimates the level of risk of traffic situations perceived by the driver, based on the driver's driving behavior. An interaction model between driving environment and operation is acquired by online learning, and driver-adapted results are output. This paper outlines the system algorithm and estimation experiment results.
