V2X环境下基于圆风险域的交通冲突识别模型OACSTPCD

To improve the identification accuracy of merging conflicts in expressway ramp area and provide decision-making basis for mitigating merging conflicts,we propose a traffic conflict recognition model based on circular risk region under vehicle to everything(V2X)environment.Through real-time acquisition of vehicle positions and speeds using V2X technology,with conflict risk time as a key parameter,the different motion characteristics of mainline and ramp vehicles are analyzed.Firstly,by combining the vehicle kinematics,we introduce the risk region concept to construct a conflict recognition model based on circular risk region.Then,by analyzing the positional relationship of two circles given by the main line vehicle and the ramp vehicle,we characterize the relationship between two vehicles and achieve the recognition of traffic conflicts.Finally,to refine the degree of conflict risk,we use the cumulative frequency curve method to determine the level of conflict risk.Simulation results show that the recognition rate of the conflict recognition model is 25.81%higher than that of the non-adoption model,which indicates that the model can effectively recognize ramp merging conflicts,improving the traffic efficiency,and provide safety warnings for ramp merging vehicles in V2X environment.