IFSTTAR (French Institute of Science and Technology for Transport, Development and Network), Laboratory of Accident Mechanism Analysis, 304 Chemin de la Croix Blanche, 13300 Salon de Provence, France.
Cerema (Centre For Studies and Expertise on Risks, Environment, Mobility, and Urban and Country Planning), Technical Division for Territorial Development and Urban Planning 2 rue Antoine Charial, 69426 Lyon, France.
Accid Anal Prev. 2019 Sep;130:117-124. doi: 10.1016/j.aap.2017.02.021. Epub 2017 Mar 9.
Because motor vehicle crashes have decreased during the last decade in many countries in the world and are more diffuse, local authorities have difficulties to define road safety policies. An experiment with 51 cars of public fleets equipped with a specific Event Data Recorder was carried out in France during one year. The purposes of this research were to evaluate if incident data (critical driving situations) help to understand crashes, and to explore a new way for road infrastructure safety diagnosis. The analysis of 339 genuine incidents and 1237 simple events recorded illustrates the potentiality of such an experiment and provides: some insights about conditions in which incidents occur, a general overview of their distribution according to different road layouts, as well as information on the different levels of accelerations reached. It can be noticed that there is an overrepresentation of incidents in right curves compared to left curves. The simple events involving mostly the infrastructure could be used to detect road defects. Genuine incidents where the vehicle is subjected to important dynamic demands, related to potentially unsafe driving situations, can be used to improve knowledge of the motor vehicle crashes thanks to incident mechanisms analysis.
由于过去十年中世界上许多国家的机动车事故数量有所减少且分布更加广泛,地方当局难以制定道路安全政策。法国在一年内对 51 辆配备特定事件数据记录器的公共车队汽车进行了一项实验。该研究的目的是评估事故数据(关键驾驶情况)是否有助于了解事故,并探索道路基础设施安全诊断的新方法。对 339 次真实事故和 1237 次简单事件的分析说明了这种实验的潜力,并提供了:关于事故发生条件的一些见解,根据不同的道路布局对其分布情况的总体概述,以及有关达到的不同加速度水平的信息。可以注意到,右弯道中的事故发生率高于左弯道。涉及基础设施的大多数简单事件都可以用来检测道路缺陷。真正的事故中,车辆受到重要的动态需求,涉及潜在的不安全驾驶情况,这些事故可以用于通过事故机制分析来提高对机动车事故的认识。