【摘要】 通过进行交通冲突数据、照度数据与驾驶人瞳孔直径数据的统计分析,明确了瞳孔直径随照度的变化而变化,并发现冲突严重程度与瞳孔直径变化趋势的一致性.提出了以瞳孔直径为量化指标,并可根据照度瞳孔直径模型进行瞳孔直径数据补偿的交通冲突量化方法.使用实车试验数据对基于瞳孔直径的交通冲突量化方法进行验证,结果表明:驾驶人对交通冲突严重程度评分以及交通冲突量化所得q值均随车速的提高而增大,且随着车速的提高,增大的幅度递减;证明了所提交通冲突量化方法的量化结果与驾驶人主观评分具有高度一致性,可为基于驾驶人认知进行交通安全评价提供途径.更多还原

【Abstract】 Traffic conflict data, illumination data and pupil diameter data of drivers were statistically analyzed to show that the pupil diameter could be influenced by illumination with consistent changing trends of conflict severity and pupil diameter. The traffic conflict quantification method with pupil diameter as quantitative index was proposed. The illumination-pupil diameter model was established and used for the data compensation of pupil diameter to reduce the effect of illumination. The data in real vehicle tests were collected and used to quantify traffic conflicts by the proposed method. The results show that the q value from quantification method and the driver subjective scores are increased with the increasing of vehicle speed, and the increasing rates are decreased with the increasing of vehicle speed. The quantification results and the driver subjective scores in traffic conflict are consistent, and the proposed method can provide a way for traffic safety evaluation on the basis of driver cognition.更多还原