Accid Anal Prev. 2013 Dec;61:1-2. doi: 10.1016/j.aap.2013.07.006. Epub 2013 Jul 15.
The study of road safety has seen great strides over the past few decades with advances in analytical methods and research tools that allow researchers to provide insights into the complex interactions of the driver, vehicle, and roadway. Data collection methods range from traditional traffic and roadway sensors to instrumented vehicles and driving simulators, capable of providing detailed data on both the normal driving conditions and the circumstances surrounding a safety critical event. In September 2011, the Third International Conference on Road Safety and Simulation was held in Indianapolis, Indiana, USA, which was hosted by the Purdue University Center for Road Safety and sponsored by the Transportation Research Board and its three committees: ANB20 Safety Data, Analysis and Evaluation, AND30 Simulation and Measurement of Vehicle and Operator Performance, and ABJ95 Visualization in Transportation. The conference brought together two hundred researchers from all over the world demonstrating some of the latest research methods to quantify crash causality and associations, and model road safety. This special issue is a collection of 14 papers that were presented at the conference and then peer-reviewed through this journal. These papers showcase the types of analytical tools needed to examine various crash types, the use of naturalistic and on-road data to validate the use of surrogate measures of safety, and the value of driving simulators to examine high-risk situations.
道路安全研究在过去几十年中取得了重大进展，分析方法和研究工具的进步使研究人员能够深入了解驾驶员、车辆和道路之间的复杂相互作用。数据收集方法的范围从传统的交通和道路传感器到仪器化车辆和驾驶模拟器，能够提供关于正常驾驶条件和安全关键事件周围情况的详细数据。2011 年 9 月，第三届道路安全与模拟国际会议在美国印第安纳州印第安纳波利斯举行，该会议由普渡大学道路安全中心主办，由交通研究委员会及其三个委员会赞助：ANB20 安全数据、分析和评估、AND30 车辆和操作人员性能的模拟和测量，以及 ABJ95 交通中的可视化。会议汇集了来自世界各地的 200 名研究人员，展示了一些最新的研究方法，以量化事故的因果关系和关联，并建立道路安全模型。本期特刊是在会议上提交并经过该期刊同行评审的 14 篇论文的集合。这些论文展示了分析各种事故类型所需的分析工具的类型，使用自然和道路数据验证安全替代指标的使用，以及驾驶模拟器在检查高危情况方面的价值。
