TOPS Laboratory, Department of Civil and Environmental Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, 1241 Engineering Hall, Madison, WI 53706, United States.
Department of Civil and Environmental Engineering, University of Louisville, W.S. Speed Bldg., Room 111, Louisville, KY 40292, United States.
J Safety Res. 2019 Jun;69:23-31. doi: 10.1016/j.jsr.2019.01.004. Epub 2019 Feb 6.
Driver distraction has become a significant problem in transportation safety. As more portable wireless devices and driver assistance and entertainment systems become available to drivers, the sources of distraction are increasing.
Based on the results of different studies in the literature review, this paper categorizes different distraction enablers into six subcategories according to their fundamental characteristics and how they would affect a driver's likelihood of engaging in non-driving related activities. The review also discusses the characteristics and influence of external and internal distractions. The objective of this study is to examine the effect of different distraction sources in fatal crashes with the consideration of a driver's age and sex. Tukey test, chi-square test of independence, Nemenyi post-hoc test, and Marascuilo procedure have been used to investigate the top distraction sources, the trend of distraction-affected fatal crashes, the effect of different distractions on drives in different age groups, and their influence on female and male drivers.
It was found that inner cognitive inferences accounted for the greatest proportion of driver engagement in distractions. Young drivers show a larger probability of being distracted by in-vehicle technology-related devices/objects. Within the group of young drivers, female drivers showed a higher probability than their male counterparts of engaging in distracted driving caused by in-vehicle technology-related devices. Among six subcategories of distractions, drivers older than 80 years old were found to be most likely affected by inner cognitive interferences.
驾驶员分心已成为交通安全的重大问题。随着越来越多的便携式无线设备以及驾驶员辅助和娱乐系统可供驾驶员使用,分心的来源也在增加。
基于文献综述中的不同研究结果,本文根据其基本特征以及它们如何影响驾驶员从事非驾驶相关活动的可能性,将不同的分心因素分为六个子类。该综述还讨论了外部和内部分心的特征和影响。本研究的目的是检查不同分心源在致命事故中的影响,同时考虑驾驶员的年龄和性别。Tukey 检验、独立性卡方检验、Nemenyi 事后检验和 Marascuilo 程序用于研究顶级分心源、受分心影响的致命事故趋势、不同分心源对不同年龄组驾驶员的影响,以及它们对女性和男性驾驶员的影响。
研究发现,内部认知推断占驾驶员参与分心的最大比例。年轻驾驶员更有可能因车内技术相关设备/物品而分心。在年轻驾驶员群体中,女性驾驶员比男性驾驶员更容易因车内技术相关设备而分心。在分心的六个子类中,80 岁以上的驾驶员最容易受到内部认知干扰的影响。