...
首页> 外文期刊>Accident Analysis & Prevention >Analyzing the ability of crash-prone highways to handle stochastically modelled driver demand for stopping sight distance
【24h】

Analyzing the ability of crash-prone highways to handle stochastically modelled driver demand for stopping sight distance

机译:分析容易撞车的高速公路处理随机建模的驾驶员视线距离的需求的能力

获取原文
获取原文并翻译 | 示例
           

摘要

Stopping Sight Distance (SSD) is the distance defined in most highway design guides as the distance required by drivers to safely come to a complete stop in case of an emergency. Accordingly, design guides define theoretical values for SSD and recommend that these requirements are satisfied at all points along a highway corridor. SSD is estimated as a function of speed, driver reaction time, and deceleration rate, which are all factors that vary by both driver and driving conditions. Despite the anticipated uncertainty in those variables, they are all modelled deterministically. Unfortunately, this is an inaccurate assumption and provides no information about the extent to which roads designed to meet SSD requirements are able to satisfy road user demand for SSD. Design guides also fail to provide information about the impact a segment that fails to meet driver needs has on safety. To overcome those limitations, this paper assesses the ability of existing roads to satisfy stochastically modelled road user demand for SSD. The Available Sight Distance (ASD) was first quantified for a group of top crash-prone segments, and a Monte Carlo Simulation was used to model demand for SSD. The proportion of the test highways that failed to meet driver demands for SSD was then quantified by comparing the ASD to the required SSD at different levels of driver demand. Furthermore, the paper also compares the safety performance between regions that meet SSD and those that fail to do so. Among other findings, the paper shows that, on average, 6.8 % of the length of the test segments are noncompliant to the SSD demands of 70 % of the driving population. On the other hand, the average percent noncompliance for 30 % of the driving population (the 30 % with limited abilities) was 12.1 %. It was also found that, on average, crash rates in the noncompliant regions were two to three times higher than those in the compliant regions at the 70 % level (i.e., in regions that fail to meet the SSD demands of 70 % of the driving population).
机译:停车视线距离(SSD)是大多数高速公路设计指南中定义的距离,是驾驶员在紧急情况下安全地完全停车所需的距离。因此,设计指南定义了SSD的理论值,并建议在高速公路走廊的所有位置都满足这些要求。 SSD估计为速度,驾驶员反应时间和减速率的函数,所有这些因素都会因驾驶员和驾驶条件而异。尽管这些变量具有预期的不确定性,但它们都是确定性的建模。不幸的是,这是一个不准确的假设,没有提供有关满足SSD需求的道路能够满足道路用户对SSD需求的程度的信息。设计指南也未能提供有关未能满足驾驶员需求的路段对安全性的影响的信息。为了克服这些限制,本文评估了现有道路满足随机建模的道路用户对SSD需求的能力。首先对一组易发生碰撞的顶部段的“可用视距”(ASD)进行了量化,然后使用“蒙特卡洛模拟”(Monte Carlo Simulation)对SSD的需求进行建模。然后,通过将ASD与不同级别驾驶员需求下所需的SSD进行比较,来量化未能满足驾驶员对SSD需求的测试高速公路的比例。此外,本文还比较了满足SSD要求的区域和未满足SSD要求的区域之间的安全性能。除其他发现外,该论文还表明,平均而言,测试段长度的6.8%不符合70%的驾驶人群对SSD的要求。另一方面,30%的驾驶人口(30%的能力有限)的平均不合规率为12.1%。还发现,在70%的水平上(即在那些不能满足70%的SSD需求的区域中),不合规区域的碰撞率平均要比合规区域的碰撞率高两到三倍。人口)。

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