基于避险脱离的自动驾驶路测安全影响因素

Risk factors for autonomous vehicle road testing based on risk-avoiding disengagement

本文采用自动驾驶路测避险脱离率来表征自动驾驶路测风险。首先基于大量自动驾驶路测实测数据,采用LSTM方法辨识自动驾驶路测避险脱离,并基于Tobit模型分析车道宽度、天气等动静态因素对路测避险脱离率的影响,由此建立基于避险脱离的自动驾驶路测安全模型。本文安全模型从更为积极主动的角度来规避自动驾驶路测事故,保障自动驾驶路测安全有序地进行。

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.