【摘要】 为深入理解驾驶员行为，本文对驾驶员在弯道工况下的主观风险感知进行量化探索。首先，提出基于1/CTLC、1/STLC与1/TAD指标的驾驶员弯道工况主观风险感知量化方法。其次分别针对潜在风险感知和显性风险感知特性设计主观评价实验，利用数值评估法获得驾驶员的风险评估值，根据史蒂文斯幂定律对结果进行拟合，构建了驾驶员弯道主观风险感知模型。最后，基于该模型对驾驶员自然驾驶数据进行分析，结果表明本文构建的风险感知模型能反映弯道工况下驾驶员的风险感知特性。更多还原

【Abstract】 In order to in-depth understand driver’s behavior,a quantitative exploration on the subjective risk perception of driver in curve driving condition is conducted in this paper. Firstly,a method to quantify drivers’ subjective risk perception in curve driving is proposed based on 1/CTLC,1/STLC,and 1/TAD indicators. Then,the subjective evaluation experiments are devised for latent and overt risk perception characteristics respectively,the driver’s risk estimate is obtained by using the magnitude estimation method,and the results are fitted according to Stevens’ power law to construct a driver’s subjective risk perception model in curve driving. Finally,the driver’s natural driving data are analyzed based on the model. The results show that the risk perception model constructed can reflect the risk perception characteristics of drivers in curve driving condition.更多还原