In order to improve the lane change safety of networked autonomous vehicles in the intelligent networked environment,according to the characteristics of environment perception and real-time communication of networked autonomous vehicles,based on the potential field theory,the differences of risk changes faced by vehicles in different directions were analyzed,the dynamic vehicle spac-ing was corrected,the vehicle risk potential field model was constructed,and the risks faced by the networked autonomous vehicles in the driving process were quantified.Numerical simulation analysis of the model show that the motion state of the vehicle in this lane and the target lane directly affects the safety distance required when changing lanes.It can be seen that the vehicle needs to adjust its own motion state to change the distribution of the vehicle's risk potential field when changing lanes,so as to avoid conflicts with the risk po-tential field of other vehicles and affect driving safety.
关键词
风险势场/网联自主车辆/距离修正/换道行为模型/安全换道距离
Key words
risk potential field/connected vehicles/distance correction/lane change model/change lanes at a safe distance
维普
万方数据