Chalmers University of Technology, Sweden.
If P&C Insurance, Sweden.
J Safety Res. 2020 Jun;73:225-234. doi: 10.1016/j.jsr.2020.03.003. Epub 2020 Apr 3.
Aggressive driving has been associated as one of the causes for crashes, sometimes with very serious consequences. The objective of this study is to investigate the possibility of identifying aggressive driving in car-following situations on motorways by simple jerk metrics derived from naturalistic data.
We investigate two jerk metrics, one for large positive jerk and the other for large negative jerk, when drivers are operating the gas and brake pedal, respectively.
The results obtained from naturalistic data from five countries in Europe show that the drivers from different countries have a significantly different number of large positive and large negative jerks. Male drivers operate the vehicle with significantly larger number of negative jerks compared to female drivers. The validation of the jerk metrics in identifying aggressive driving is performed by tailgating (following a leading vehicle in a close proximity) and by a violator/non-violator categorization derived from self-reported questionnaires. Our study shows that the identification of aggressive driving could be reinforced by the number of large negative jerks, given that the drivers are tailgating, or by the number of large positive jerks, given that the drivers are categorized as violators. Practical applications: The possibility of understanding, classifying, and quantifying aggressive driving behavior and driving styles with higher risk for accidents can be used for the development of driver support and coaching programs that promote driver safety and are enabled by the vast collection of driving data from modern in-vehicle monitoring and smartphone technology.
激进驾驶已被认为是导致事故的原因之一，有时后果非常严重。本研究的目的是通过自然驾驶数据中的简单冲击度量来研究在高速公路跟车情况下识别激进驾驶的可能性。
我们研究了两种冲击度量，一种是在驾驶员操作油门和刹车踏板时产生的大正冲击度量，另一种是大负冲击度量。
从欧洲五个国家的自然驾驶数据中得到的结果表明，不同国家的驾驶员具有明显不同数量的大正冲击和大负冲击。与女性驾驶员相比，男性驾驶员操作车辆时产生的负冲击数量明显更多。通过追尾（在近距离跟随前车）和根据自我报告问卷得出的违规/非违规分类来验证冲击度量在识别激进驾驶中的有效性。我们的研究表明，通过识别大负冲击数量（前提是驾驶员在追尾），或者通过识别大正冲击数量（前提是驾驶员被归类为违规者），可以增强对激进驾驶的识别。实际应用：通过利用现代车载监测和智能手机技术获取的大量驾驶数据，理解、分类和量化具有更高事故风险的激进驾驶行为和驾驶风格的可能性，可为开发驾驶员支持和培训计划提供帮助，从而促进驾驶员安全。
