Seven car-following indicators were extracted based on risk homeostasis theory. Furthermore, to simulate the car-following behavior, three car-following situations were designed according to the motion of the lead car. Eleven types of weather conditions, including clear sky, four levels of fog, four levels of rain and two levels of snow, were designed. An expressway road scenario was built in a driving simulator.
This research examines how drivers’ perceived risk changes during car following under different adverse weather conditions by using driving simulation experiment. Adverse weather has a considerable impact on the behavior of drivers, which puts vehicles and drivers in hazardous situations that can easily cause traffic accidents.
