Research on Gender Difference of Car Following Behavior Based on Natural Driving Data

Gender difference has a great influence on driving behavior, but at present, gender factors are less considered in various driving behavior analysis and modeling. In order to explore the mapping relationship between gender and driving behavior, a behavioral data acquisition system based on functional camera-millimeter wave radar was built to obtain the natural driving data of 22 drivers on structured road. Taking car following behavior as the research object, it was refined into five sub-scenes, deceleration car following, acceleration car following, steady car following, cut out and cut in. The key feature parameters of the sub-scenes correlation were obtained for mathematical statistical analysis. The results show that male drivers tend to slow down later, accelerate faster and have larger acceleration to obtain higher driving efficiency in various scenes. Female drivers have lower speed and relative distance in the process of steady car following, indicating that female drivers are not accustomed to high speed car following and will choose to change lanes in advance to avoid high speed car following. These differentiated key parameters can be used to improve the adaptability and accuracy of behavioral analysis and modeling.