Driver Emergency Braking Model Considering Risk Scenarios
In order to address the issue of insufficient safety assessment of autonomous vehicles compared to human driving,this study presents a driver emergency braking model that takes into account various risk scenarios.Firstly,through an analysis of environmental vehicle behavior,positioning,and traffic accident databases,three risk scenarios are identified:emergency braking of the front vehicle in the same lane,emergency lane change of the front vehicle in the adjacent lane,and encountering a stationary front vehicle after emergency lane change of the front vehicle in the same lane.Secondly,the study summarizes three key parameters of the braking model:maximum deceleration,braking efficiency improvement time,and decision response time,along with their extraction methods.These parameters were calibrated using both real vehicle testing and driving simulator experiments.The study defines the boundary between collision and non-collision in the risk scenario through the generalization of risk scenario variables and constructs the driver emergency braking model.Real vehicle testing of the typical scenarios derived from the generalization result shows that the proposed model has a 77.8%similarity to human driving capability.The parameters collected in this study can serve as a reference for future research on other driving models,and the constructed model can provide support for the assessment of the access and safety of autonomous vehicles.
traffic engineeringemergency braking modelgeneralization and simulationdriving ability boundaryrisk scenario
万方数据
维普
