Probabilistic Rating of Safety on local Streets

机译：当地街道安全性的概率等级

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Identifying those local streets having a high risk for pedestrian-vehicle collisions is often difficult because the rarity of such collisions compromises the accuracy of accident rate estimates. As an alternative, this paper describes how to compute nonparametric predictions of the frequency and collision speed of a hypothetical vehicle-pedestrian accident, using samples of vehicle and pedestrian speeds. This method can be used to rank streets as to priority for traffic control measures, and if the effect of control measures on vehicle volumes and speeds can be predicted, the method can be used to rank different proposed control measures with respect to predicted safety benefits.

机译：确定行人车辆碰撞风险高的当地街道通常很困难，因为此类碰撞的稀有性会影响事故率估算的准确性。作为替代方案，本文介绍了如何使用车辆和行人速度样本来计算假设的行人交通事故的频率和碰撞速度的非参数预测。该方法可用于根据交通控制措施的优先级对街道进行排名，并且如果可以预测控制措施对车辆数量和速度的影响，则可以使用该方法对预测的安全收益对不同的拟议控制措施进行排名。

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来源
《Traffic congestion and traffic safety in the 21st century : Challenges, innovations, and opportunities》|1997年|p.465-471|共7页
会议地点 Chicago IL(US)
作者
Gary A.Davis; Patrick T.Corkle;
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原文格式 PDF
正文语种 eng
中图分类公路运输;
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Probabilistic Rating of Safety on local Streets

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