［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 V 2V 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.