In-vehicle glance duration - Distributions, tails, and model of crash risk
In-vehicle glance duration - Distributions, tails, and model of crash risk
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DOI：
10.3141/2018-04
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发表时间：
2007-01-01
影响因子：
1.7
通讯作者：
Wickens, Christopher D.
中科院分区：
文献类型：
--
作者：
Horrey, William J.;Wickens, Christopher D.
一般来说，可能产生机动车碰撞的不安全条件不位于给定分布的平均值（换句话说，在典型条件下），而是位于分布的尾部。例如，对交通障碍的异常缓慢的反应，而不是平均的反应，可能导致碰撞。尽管这种情况意味着崩溃是例外而不是常态，但它对如何处理和处理安全关键数据具有影响。在本文中，使用在驾驶模拟器中收集的实验数据来演示如何对车载显示器的平均注视持续时间进行分析，并对分布的尾部进行分析，从而得出关于安全性的不同结论。此外，还描述了基于车内视线分布的碰撞风险模型，以及交通环境的几个特征。
In general, the unsafe conditions that are likely to produce a motor vehicle crash reside not at the mean of a given distribution (in other words, under typical conditions), but rather in the tails of the distribution. For example, an unusually slow response to a traffic obstacle, rather than an average response, may result in a collision. Although that situation means that crashes are the exception and not the norm, it has implications for how safety-critical data are approached and handled. In this current paper, experimental data collected in a driving simulator are used to demonstrate how an analysis of the average glance durations to an in-vehicle display might lead to different conclusions about safety compared, vith an alternative analysis of the tail end of the distribution. In addition, a model of crash risk based on the distribution of in-vehicle glances is described, as well as several characteristics of the traffic environment.