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Accident causation and pre-accidental driving situations. Part 2. In-depth accident causation analysis

机译:事故原因和意外驾驶情况。第2部分。深入的事故原因分析

摘要

WP2 of the European Project TRACE is concerned with “Types of Situations” to analyse the causationudof road traffic accidents from the pre-accidental driving situation point of view. Four complementaryudsituations were defined: stabilized situations, intersection, specific manoeuvre and degradationudscenario. To reach this objective, the analysis is based on a common methodology composed on 3udsteps: the “descriptive analysis” which from general statistics will allow to identify among the studiedudsituations those them relevant and to give their characteristics, the “in-depth analysis” allowing toudobtain accident causes from the generic description of the problems identified in the previous step andudthe risk analysis identifying the risk of being involved in an accident taking into account the resultsudobtained from the ‘in–depth’ level. This report is dedicated to the identification of the accident causesudanalysed for the pre-accidental driving situation point of view, i.e. the circumstances in which theuddriver is involved just prior the accident. This analysis has been conducted from the scenariosudidentified for each type of situation during the descriptive analysis realized in a first part (Report D2.1:udAccident causation and pre-accidental driving situations. Part 1. Overview and general statistics).udThese results are based on the study of disaggregated data (in-depth accidents collection databases)udavailable via WP8 in TRACE. With the identification of the main causes and contributing factor, theudaspect related to the human functional failure has been taken into account. This innovative conceptudstudied in TRACE WP5, has been used here in order to have a more complete overview of theudproblems in working on each road users involved in the accident and not only on the whole accident.
机译:欧洲TRACE项目的WP2涉及“情况类型”,以从事故前驾驶情况的角度分析道路交通事故的因果。定义了四个互补情境:稳定情况,交叉路口,特定机动和退化情境。为了达到这个目标,分析是基于一个由3个步骤组成的通用方法:“描述性分析”可从一般统计数据中识别出所研究的情境中与之相关并赋予其特征的“本性”。深度分析”,可以从上一步中确定的问题的一般描述中获得事故原因,“风险分析“,” “从”深入“级别获得的结果, 。该报告专门用于识别事故原因,并针对事故前的驾驶情况进行了分析,即,在事故发生之前驾驶员涉及的情况。该分析是根据在第一部分中实现的描述性分析期间针对每种情况所识别的场景进行的(报告D2.1: ud事故因果关系和事故前驾驶情况。第1部分。概述和一般统计)。 ud这些结果基于对TRACE中可通过WP8进行分类的数据(深度事故收集数据库)的研究。在确定主要原因和影响因素后,已考虑到与人的功能衰竭有关的怀疑。此处使用了TRACE WP5中研究的这一创新概念,以便更全面地概述在涉及事故的每条道路使用者上工作的ud问题,而不仅仅是整个事故。

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