寻找交通事件的严重性维度:扩展Delta-V作为交通冲突指标

In search of the severity dimension of traffic events: Extended Delta-V as a traffic conflict indicator

Accident Analysis & Prevention · 2016
被引 169 · 同刊同年前 3%
ABS 3

中文导读

本文提出扩展Delta-V作为衡量交通冲突严重性的新指标,它结合了碰撞接近度和潜在伤害程度,并通过信号交叉口案例验证其有效性,对交通安全研究者和工程师评估冲突风险有参考价值。

Abstract

Most existing traffic conflict indicators do not sufficiently take into account the severity of the injuries resulting from a collision had it occurred. Thus far, most of the indicators that have been developed express the severity of a traffic encounter as their proximity to a collision in terms of time or space. This paper presents the theoretical framework and the first implementation of Extended Delta-V as a measure of traffic conflict severity in site-based observations. It is derived from the concept of Delta-V as it is applied in crash reconstructions, which refers to the change of velocity experienced by a road user during a crash. The concept of Delta-V is recognised as an important predictor of crash outcome severity. The paper explains how the measure is operationalised within the context of traffic conflict observations. The Extended Delta-V traffic conflict measure integrates the proximity to a crash as well as the outcome severity in the event a crash would have taken place, which are both important dimensions in defining the severity of a traffic event. The results from a case study are presented in which a number of traffic conflict indicators are calculated for interactions between left turning vehicles and vehicles driving straight through a signalised intersection. The results suggest that the Extended Delta-V indicator seems to perform well at selecting the most severe traffic events. The paper discusses how the indicator overcomes a number of limitations of traditional measures of conflict severity. While this is a promising first step towards operationalising an improved measure of traffic conflict severity, additional research is needed to further develop and validate the indicator.

交通工程交通安全冲突分析事故严重性