次任务驾驶安全评价指标筛选及其权值计算

Selection of safe evaluation indexes and weight calculation for secondary task driving

为了得到科学、合理的次任务驾驶安全评价指标体系,利用眼动仪和驾驶模拟器设备,进行了采集眼动行为参数和车辆运行状态参数的试验,并研究了其在驾驶过程中的变化规律。应用灰色聚类理论,结合一次形成聚类结构算法,代替粗糙集理论中等价关系的方法,筛选评价指标,将17个待选指标约简至7个,建立了精简的评价指标体系。在此基础上采用模糊层次分析法(FAHP),确定了各评价指标的权重,试验结果表明,一级指标中眼动行为指标和二级指标中油门开度指标最为重要。

In order to system, an experlInen get scientific and reasonable secondary task t was conducted and the parameters of eye mov were collected using an eye tracker and these parameters during driving were driving safety evaluation ement and vehicle running a driving simulator equipment. Then, the variation studied. Using gray cluster analysis theory and ro index states rules of ugh set theory, 7 evaluation indexes were screened out from 17 indexes, and a streamlined evaluation index system is built. （）n this basis, the Fuzzy Analytic Hierarchy Process （FAHP） was used to determine the weight values of the evaluation indexes. Results show that the eye movement behavior of the first- level indexes and the throttle opening of the second-level indexes are the most important ones.