ABSTRACT

Friction is a property of the pavement that provides vehicles with grip to change speed and direction. When the available friction is reduced through the polishing action of traffic, the risk of crash increases. This is especially true when the pavement surface is wet. To reduce the risk of skid-related crashes, pavement friction management programmes may establish thresholds, for example, investigatory levels, for friction based on crash risk analysis. When the friction is at or below this threshold, a site investigation is triggered to determine the cause of the deficiency. Pavement friction management programmes often rely primarily on a visual approach to establish investigatory levels, the results of which are subjective and may vary among analysts. This paper proposes a statistical modelling approach for determining investigatory levels using crash and pavement friction data. For the data used in this paper, the findings show that the proposed approach produced values that were relatively similar in magnitude to the values found in friction policy in Australia, New Zealand, and the United Kingdom.

摘要

摩擦力是路面的一种特性，可为车辆提供抓地力以改变速度和方向。当通过交通的抛光作用减少可用的摩擦力时，碰撞的风险就会增加。当路面潮湿时尤其如此。为了降低与打滑相关的碰撞风险，路面摩擦管理程序可能会根据碰撞风险分析为摩擦建立阈值，例如调查级别。当摩擦达到或低于此阈值时，将触发现场调查以确定缺陷的原因。路面摩擦管理计划通常主要依靠视觉方法来建立调查级别，其结果是主观的，并且可能因分析师而异。本文提出了一种统计建模方法，用于使用碰撞和路面摩擦数据确定调查水平。对于本文中使用的数据，研究结果表明，所提出的方法产生的值与澳大利亚、新西兰和英国摩擦政策中的值在幅度上相对相似。