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暗适应作为驾驶适宜性的一个重要检测项目,影响驾驶员行车安全,需要制定其检测评价指标。介绍了暗适应的检测仪器与方法,然后合理地从5 167名营运车辆驾驶员检测数据中选择出4 596个有效样本,从样本总体特征得到样本分布情况;通过对样本的处理与分析,得出暗适应与年龄及事故次数间存在显著性,以及事故组驾驶员暗适应检测均值与年龄、驾龄间关系;最后验证了样本数据和设备的有效性,通过单因素方差分析与K-均值聚类法,按照年龄以40岁为界进行分组,计算确定出不同年龄区间的暗适应评价指标值。
Dark adaptation as a driving test suitability of an important test items, affecting the driver driving safety, the need to develop its test evaluation indicators. Introduced dark-adapted detection instruments and methods, and then selected 4 596 valid samples from 5 167 pilot detection data of operating vehicles to get the distribution of samples from the overall characteristics of the samples. Through the sample processing and analysis, Dark adaptation and age and the number of accidents were significant, as well as accidental driver dark adaptation detection mean and age, the relationship between driving age; finally verified the sample data and equipment effectiveness, by one-way analysis of variance and K-means poly Class method, according to the age of 40 years of age for the grouping, calculated to determine the different age range dark adaptation evaluation index value.