An analysis of collision avoidance effectiveness by using the information displayed in driver's peripheral vision

Abstract

The collision avoidance system has a potential to reduce traffic accidents and expected to become widely used. From the driver's point of view, it is important to present a collision warning which does not disturb driver's concentration on driving. This paper describes the effectiveness of the collision avoidance system which uses the information displayed in driver's peripheral vision in right turn at an intersection. In order to analyze the effectiveness of the peripheral vision information, we evaluated the collision avoidance ratio and the effect of over-trust behavior when the information was missed. The analysis was conducted through the driving simulator experiment and the numerical simulation by the Time Series Reliability Model, which is a driver-model the authors proposed. The result showed that the peripheral vision information is effective to avoid the collision and the over-trust behavior did not appear even when the information is missed.