Improvement Recommendations for Unsealed Gravel Roads

Author:

Huntington George1,Ksaibati Khaled1

Affiliation:

1. Wyoming Technology Transfer Center, 1000 East University Avenue, Department 3295, Laramie, WY 82071.

Abstract

A method was developed to recommend improvements for unsealed earth and gravel roads that are not up to the standard expected for their functional class. As part of a pilot asset management program carried out by the Wyoming Technology Transfer Center, roads were rated for several distresses, including corrugations–washboards, rutting, potholes, loose aggregate, drainage, dust, and overall condition by using a visual survey method. These ratings were used to calculate a surfacing serviceability index (SSI) for each road section. This SSI was compared with the minimum acceptable SSI for the section's functional class. When the section's SSI was below this threshold value, improvement tasks were selected from a decision matrix, and the most expensive task was recommended to address the section's inadequate surface condition. This process allows an agency to present its elected officials with a list of roads in their network that need improvement, along with an estimate of the cost of these improvements. The method presented in this paper can be used by agencies with extensive unsealed road networks if they perform a visual survey rating various distresses and they develop a decision matrix based on these distresses to establish appropriate improvements to substandard roads.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Developing an Optimization Tool for Selecting Gravel Roads Maintenance Strategies using a Genetic Algorithm;Transportation Research Record: Journal of the Transportation Research Board;2020-04-07

2. Complementary Modeling of Gravel Road Traffic-Generated Dust Levels Using Bayesian Regularization Feedforward Neural Networks and Binary Probit Regression;International Journal of Pavement Research and Technology;2020-02-12

3. Developing and validating an image processing algorithm for evaluating gravel road dust;International Journal of Pavement Research and Technology;2019-05

4. An optimisation tool to select gravel roads for dust chemical treatment projects using genetic algorithms;International Journal of Pavement Engineering;2018-11-20

5. Estimation of Gravel Roads Ride Quality Through an Android-Based Smartphone;Transportation Research Record: Journal of the Transportation Research Board;2018-04-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3