关键词: 交通工程, 皮尔逊相关分析, 灰色关联度, 交通事故, 相关性, 离差最大化

Abstract: Pearson correlation coefficient was used to analyze the relevance between the illegal behaviors of motor vehicle drivers with four indicators of road traffic accidents.The results show that the illegal behavior of motor vehicle drivers is significantly correlated with the total number of road traffic accidents，the number of deaths and the number of injures.In order to further understand the correlation between driver’s illegal behavior and four indicators of road traffic accidents，the motor vehicle driver’s illegal behavior that had the highest correlation with the four indicators was obtained.And an improved gray comprehensive correlation degree model was proposed to analyze the correlation degree.The results show that driving without a license has the highest gray comprehensive correlation degree with the total number of road traffic accidents，the number of injures and the direct economic loss; the illegal behavior not to give way by rule has the highest gray comprehensive correlation degree with the number of deaths in traffic accidents; the illegal behaviors such as reverse driving，illegal overtaking and speeding also have high gray comprehensive correlation degree with four indicators of road traffic accidents.Therefore，in the prevention and treatment of road traffic accidents，reducing the occurrence of illegal behaviors such as driver driving without a license，not to give way by rule，reverse driving，illegal overtaking and speeding should be focused，so as to effectively reduce the occurrence of traffic accidents and losses caused by road traffic accidents.

Key words: traffic engineering, Pearson correlation analysis, gray relational degree, traffic accident, relevance, maximizing deviation