Li Qing, Guo Feng, Klauer Sheila G, Simons-Morton Bruce G
Department of Statistics, University of Wisconsin-Madison, United States.
Department of Statistics, Virginia Tech, 250 Drillfield Drive, Blacksburg, VA 24061, United States; Virginia Tech Transportation Institute, United States.
Accid Anal Prev. 2017 Nov;108:139-146. doi: 10.1016/j.aap.2017.08.007. Epub 2017 Sep 4.
The driving risk of novice teenagers is the highest during the initial period after licensure but decreases rapidly. This paper applies two recurrent-event change-point models to detect the time of change in driving risks. The models are based on a non-homogeneous Poisson process with piecewise constant intensity functions. We show that the maximum likelihood estimators of the change-points can only occur at the event times and they are consistent. A simulation study is conducted to demonstrate the model performance under different scenarios. The proposed models are applied to the Naturalistic Teenage Driving Study, which continuously recorded in situ driving behaviour of 42 novice teenage drivers for the first 18 months after licensure using sophisticated in-vehicle instrumentation. The results indicate that approximately half of the drivers have lower risk after 73.0h of independent driving after licensure while the risk for others increases. On the average the driving risk deceases after the change-point. The results provide critical information for safety education, safety countermeasure development, and Graduated Driver Licensing policy making.
新手青少年的驾驶风险在获得驾照后的初始阶段最高,但会迅速下降。本文应用两种复发事件变点模型来检测驾驶风险的变化时间。这些模型基于具有分段常数强度函数的非齐次泊松过程。我们表明,变点的最大似然估计量只能出现在事件发生时间,并且它们是一致的。进行了一项模拟研究以展示不同场景下模型的性能。所提出的模型应用于自然主义青少年驾驶研究,该研究使用先进的车载仪器在42名新手青少年驾驶员获得驾照后的前18个月连续记录其现场驾驶行为。结果表明,大约一半的驾驶员在获得驾照后独立驾驶73.0小时后风险降低,而其他驾驶员的风险增加。平均而言,变点之后驾驶风险会降低。这些结果为安全教育、安全对策制定和分级驾驶员执照政策制定提供了关键信息。