Abstract
In this study, a methodology for estimating the collision mitigation ratio is discussed, using the collision-prevention system by supplying aroma to the drivers whose attentiveness to driving is decreasing due to a long drive. First, Time Series Reliability Model, which is a driver-model considering the driver's time-series cognitive status is constructed and the collision mitigation ratio is estimated. Next, State Transition Probabilistic Model, which is a driver-model based on the concept of system reliability engineering is constructed and the collision mitigation ratio is estimated. Lastly the results from each driver-model are compared and the validity of Time Series Reliability Model is discussed.
