Each year the National Highway Traffic Safety Administration and Insurance Institute for Highway Safety release safety ratings for popular makes and models of vehicles produced. We link these safety ratings with the crash data provided in the National Automotive Sampling System General Estimates System to study the efficacy of safety ratings as a predictor of the likelihood a passenger will be injured in a crash. We also consider the case of predicting a severe injury or death as a function of safety rating. A web-based dashboard was developed to graphically explore the relationship among these datasets. By considering the proportion of occupants (severely) injured per crash, we find that vehicle safety ratings generally do not have as much of an effect on likelihood of injury as one might expect, although vehicles with higher ratings can result in significant relative improvement. Our web application allows a user to explore different aspects of crashes (e.g., use of alcohol, speeding, etc.) and compare injuries and safety rating performance based on these conditions. Lastly, our dashboard allows a user to see differences between the NHTSA and IIHS ratings systems and how they correspond to the crash records.

每年，美国国家公路交通安全管理局和公路安全保险协会都会发布大众汽车品牌和型号的安全评级。我们将这些安全评级与国家汽车抽样系统通用估计系统中提供的碰撞数据联系起来，以研究安全评级作为乘客在碰撞中受伤可能性的预测指标的有效性。我们还考虑了根据安全评级预测严重伤害或死亡的情况。开发了一个基于 Web 的仪表板，以图形方式探索这些数据集之间的关系。通过考虑每次碰撞（严重）受伤的乘员比例，我们发现车辆安全等级对受伤可能性的影响通常没有人们想象的那么大，尽管评级较高的车辆可以带来显着的相对改进。我们的网络应用程序允许用户探索碰撞的不同方面（例如，使用酒精、超速等）并根据这些条件比较伤害和安全评级性能。最后，我们的仪表板允许用户查看 NHTSA 和 IIHS 评级系统之间的差异，以及它们与事故记录的对应关系。