Risk factors for autonomous vehicle road testing based on risk-avoiding disengagement
This study uses the risk-avoiding disengagement to represent the risk.This study first uses the LSTM method to identify the risk-avoiding disengagement of autonomous vehicles in the road-testing phase based on a large scale of realistic road-testing data,then use the Tobit model to analyze the impacts of factors on the risk-avoiding disengagement rate,and the risk analysis model of autonomous vehicle road testing was established.This method can avoid the accidents of autonomous vehicle road testing in advance,and promote the autonomous vehicle road testing in a safe and regulated way.
transportation engineeringautonomous vehicle road testingrisk-avoiding disengagementrisk factorsTobit model
万方数据
维普
