ABSTRACT

Road pavements continuously deteriorate mainly due to the combined influence of traffic load and environmental conditions. The pavement ability to satisfy the road user demands along its designed time of service expresses its performance level. The prediction of performance deterioration curves is a basic part of any Pavement Management System (PMS). Road roughness is an important parameter in determining the performance of pavements. The International Roughness Index (IRI) is the universal standard for measuring the pavement roughness and it has become the most widely employed pavement index. This paper presents the development of a model for predicting the deterioration of the IRI and calibrating its parameters based on the pavement structural factors such as structural number, asphalt layer thickness, subgrade strength, and environmental conditions. The approach adopted for the IRI deterioration model development was based on the combination of the empirical-mechanistic approach and the regressive empirical approach. The predicted results were compared with the measurements of road sections located in various climate zones, which are embedded in the PMS of Netivei Israel (NETI), National Company for Transport Infrastructures. The comparison shows a very good correlation, and most of the predicted results are within the measurement and interpretation error range.

摘要

道路路面不断恶化主要是由于交通负荷和环境条件的综合影响。路面在其设计服务时间内满足道路使用者需求的能力表示其性能水平。性能恶化曲线的预测是任何路面管理系统 (PMS) 的基本部分。路面粗糙度是决定路面性能的重要参数。国际粗糙度指数（IRI）是衡量路面粗糙度的通用标准，已成为应用最广泛的路面指数。本文介绍了基于结构数量、沥青层厚度、路基强度、和环境条件。IRI 恶化模型开发所采用的方法是基于经验机制方法和回归经验方法的结合。预测结果与位于不同气候区的路段测量结果进行了比较，这些测量结果嵌入国家运输基础设施公司 Netivei Israel (NETI) 的 PMS。比较显示出非常好的相关性，并且大部分预测结果在测量和解释误差范围内。它们嵌入在国家运输基础设施公司 Netivei Israel (NETI) 的 PMS 中。比较显示出非常好的相关性，并且大部分预测结果在测量和解释误差范围内。它们嵌入在国家运输基础设施公司 Netivei Israel (NETI) 的 PMS 中。比较显示出非常好的相关性，并且大部分预测结果在测量和解释误差范围内。