...
首页> 外文期刊>Accident Analysis & Prevention >Quantifying the safety effects of horizontal curves on two-way, two-lane rural roads
【24h】

Quantifying the safety effects of horizontal curves on two-way, two-lane rural roads

机译:量化水平弯道对两向,两车道农村公路的安全影响

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The objective of this study is to quantify the safety performance of horizontal curves on two-way, two-lane rural roads relative to tangent segments. Past research is limited by small samples sizes, outdated statistical evaluation methods, and unreported standard errors. This study overcomes these drawbacks by using the propensity scores-potential outcomes framework. The impact of adjacent curves on horizontal curve safety is also explored using a cross-sectional regression model of only horizontal curves. The models estimated in the present study used eight years of crash data (2005-2012) obtained from over 10,000 miles of state-owned two-lane rural roads in Pennsylvania. These data included information on roadway geometry (e.g., horizontal curvature, lane width, and shoulder width), traffic volume, roadside hazard rating, and the presence of various low-cost safety countermeasures (e.g., centerline and shoulder rumble strips, curve and intersection warning pavement markings, and aggressive driving pavement dots). Crash prediction is performed by means of mixed effects negative binomial regression using the explanatory variables noted previously, as well as attributes of adjacent horizontal curves. The results indicate that both the presence of a horizontal curve and its degree of curvature must be considered when predicting the frequency of total crashes on horizontal curves. Both are associated with an increase in crash frequency, which is consistent with previous findings in the literature. Mixed effects negative binomial regression models for total crash frequency on horizontal curves indicate that the distance to adjacent curves is not statistically significant. However, the degree of curvature of adjacent curves in close proximity (within 0.75 miles) was found to be statistically significant and negatively correlated with crash frequency on the subject curve. This is logical, as drivers exiting a sharp curve are likely to be driving slower and with more awareness as they approach the next horizontal curve. (C) 2016 Elsevier Ltd. All rights reserved.
机译:这项研究的目的是量化相对于切线段的两路,两车道农村公路的水平曲线的安全性能。过去的研究受到样本量小,过时的统计评估方法和未报告的标准误差的限制。本研究通过使用倾向得分-潜在结果框架克服了这些缺点。还使用仅水平曲线的横截面回归模型来探索相邻曲线对水平曲线安全性的影响。在本研究中估计的模型使用了八年的碰撞数据(2005年至2012年),这些数据是从宾夕法尼亚州10,000英里的国有两车道乡村道路获得的。这些数据包括有关道路几何形状(例如,水平曲率,车道宽度和路肩宽度),交通量,路边危险等级以及是否存在各种低成本安全对策(例如,中心线和路肩隆隆带,弯道和交叉路口)的信息警告路面标记和激进的行驶路面点)。通过使用前面提到的解释变量以及相邻水平曲线的属性,通过混合效应负二项式回归来执行崩溃预测。结果表明,在预测水平曲线上全部碰撞的频率时,必须考虑水平曲线的存在及其曲率。两者都与碰撞频率的增加有关,这与文献中先前的发现是一致的。水平曲线上总碰撞频率的混合效应负二项式回归模型表明,到相邻曲线的距离没有统计学意义。但是,发现相邻曲线(在0.75英里内)的曲率度在统计上显着,并且与主题曲线上的碰撞频率负相关。这是合乎逻辑的,因为驶出急转弯的驾驶员在驶向下一条水平弯道时可能会行驶得更慢,并且意识更强。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号