Analysis of Driver’s Behavior under Following-Go Scenario

The driver’s behavior under following-go scenario, which has been involved in little research so far, is an important part of the driver's following behavior. Analysis of driver's behaviour under following-go scenario is important for improving the performance and the adaptability of ACC (Adaptive Cruise Control) systems in urban traffic environment. In this paper driver’s behavior under following-go scenario in real traffic is studied based on naturalistic driving data. Starting reaction time and starting distance from the target vehicle are used to evaluate driver’s starting timing under following-go scenario. Starting acceleration is used to evaluate the effect of driver’s acceleration operation under following-go scenario. The naturalistic driving data collected in china is screened and classified and the following-go scenario is obtained. The driver’s behaviour parameters under following-go scenario are extracted and the statistical characteristics are obtained. Influence factors are analyzed with univariate ANOVA (Analysis of Variance) and regression analysis. The results show that the starting reaction time and the starting distance from the target vehicle approximately obey the lognormal probability distribution and the starting acceleration approximately obeys the normal probability distribution. Environmental factors such as road type, target vehicle type and lighting condition don’t have obvious influence on the driver's behaviour under following-go scenario. The starting distance from the target vehicle is mainly affected by the stopping distance from the target vehicle and increases with it while the starting reaction time and the starting acceleration are mainly affected by the starting acceleration of the target vehicle. As the starting acceleration of the target vehicle increases, the starting reaction time is shorter and the starting acceleration is larger.