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The Distribution of Visibility Levels at Target Detection in a Modified Adrian/CIE Visibility Model

机译:改进的Adrian / CIE可见性模型中目标检测时的可见性水平分布

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Adrian's Visibility Model is a useful tool for assessing the visibility of an object at night and has been accepted as the Small Target Visibility (STV) design criteria in the Illuminating Engineering Society's American National Standard Practice for Roadway Lighting. In this study, a modified model has been used which incorporates more recent findings involving glare sources. Previous work has shown that the average visibility level (VL) at target detection will vary depending upon the observer's age, headlight beam pattern, and target reflectivity. However, the population distribution of VL at detection was still uncertain making it difficult to assess confidence in detection calculations. This study has mined available data to determine the distribution of VLs at target detection for a driving subject group. A log-normal fit has been generated for alerted and unalerted subjects which demonstrates the wide range of values that must be considered for confidence in accident avoidance analyses.
机译:Adrian的可见性模型是评估夜间物体可见性的有用工具,并已被照明工程学会的《美国国家道路照明标准实践》作为小目标可见性(STV)设计标准。在这项研究中,使用了一个经过修改的模型,该模型结合了涉及眩光源的最新发现。先前的工作表明,目标检测时的平均可见度(VL)将根据观察者的年龄,前照灯光束方向图和目标反射率而变化。但是,VL在检测时的总体分布仍然不确定,因此很难评估检测计算的可信度。这项研究已经挖掘出可用数据,以确定驾驶对象群体在目标检测时的VL分布。已为警报和未警报的对象生成了对数正态拟合,这表明了对避免事故分析的信心必须考虑的广泛范围的值。

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