Takeover performance of Highly Automated Vehicles in Complex Traffic Scenarios

Abstract

This study aims to explore the impacts of physiological characteristics and driving behavior of drivers on the takeover speed and quality. One-way ANOVA was used to verify the difference of Correct Control Time and Mean Lateral Offset between different age and gender in complex traffic scenarios including Main-line, On-ramp, Fog-cluster and Accident driving scenarios. The adaptability of the Accelerator, the Wheel and the Brake to the drivers in different age groups was analyzed. The results showed the gender has sightly effect on takeover behavior, the stability of young drivers was significantly higher and takeover speed was faster than old drivers; the speed of takeover using the wheel was faster than other inputs for young drivers, the stability of using accelerator for middle aged drivers was highest while the performance of using the accelerator for old drivers was worse than the wheel and the brake. According the results of this study, the usage of the wheel was recommended for young drivers, the accelerator was recommended for the middle aged drivers and old drivers should avoid using the accelerator.