无信控路口人驾车对自动驾驶车的欺凌行为分析OA

[Purposes]The rapid development of automated vehicles(AVs)improves traffic safety potential,but it also brings about new interaction risks in human-machine mixed traffic environments,one of which is the risk of bullying behavior by human-driven vehicles(HDVs)toward AVs.Existing studies mostly focus on the external manifestations of bullying behavior and lack in-depth exploration of the psychological mechanisms.Therefore,this paper aims to analyze the psychological and cognitive pathways of HDV drivers'intention to bully AVs and evaluate the effectiveness of vehicle-to-vehicle(V2V)communication technology as an intervention measure.[Methods]Based on the theory of planned behavior(TPB),a psychological model of bullying behavior including attitudes,subjective norms,and perceived behavioral control was constructed,and V2V information interaction was introduced as an external intervention variable.Unsignalized intersections were selected as the typical scenarios,and a questionnaire survey was conducted among drivers in Changsha,China(valid sample size N=407).A structural equation model(SEM)was employed for hypothesis testing and path analysis.[Results]The model fits well.The results indicate that perceived behavioral control,subjective norms,and attitudes all have a significant impact on bullying intention;younger drivers and those with longer driving experience show a stronger tendency to bully;V2V communication technology can effectively suppress bullying intention,and the effect is more significant among female,older,and highly experienced drivers.[Conclusions]A psychological mechanism model of HDV drivers'bullying behavior toward AVs under the TPB framework is innovatively constructed and validated in this paper.V2V communication technology is incorporated into the analysis as a behavioral intervention variable,which provides an empirical basis for AV human-machine interaction design and targeted prevention and control strategies.