Road Pavement Condition Index Deterioration Model for Network-Level Analysis of National Road Network Based on Pavement Condition Scanning Data

IF 0.6 4区 工程技术 Q4 ENGINEERING, CIVIL Baltic Journal of Road and Bridge Engineering Pub Date : 2023-09-26 DOI:10.7250/bjrbe.2023-18.609
Paulius Paplauskas, Audrius Vaitkus, Rūta Simanavičienė
{"title":"Road Pavement Condition Index Deterioration Model for Network-Level Analysis of National Road Network Based on Pavement Condition Scanning Data","authors":"Paulius Paplauskas, Audrius Vaitkus, Rūta Simanavičienė","doi":"10.7250/bjrbe.2023-18.609","DOIUrl":null,"url":null,"abstract":"Surveying the condition of the pavement is one of the most important processes in managing the road network. The information collected during these surveys allows for the calculation of the Pavement Condition Index, which is a derivative cumulative qualitative indicator that evaluates various pavement characteristics and defects. Deterioration modelling of these measured indicators and calculated indices is a critical element and its most accurate prediction brings the process of pavement management closer to a higher quality process by more efficiently allocating funds and repair work. Many different models – both extremely complex and simple – are used in the world to simulate the condition of individual pavement indicators. However, these models are developed based on the data of a certain country or region and are not suitable in another country due to different requirements for pavement structures and other reasons. In Lithuania, measurements of the quality indicators of road surfaces with new generation survey equipment have been carried out recently but the information stored in the databases about road sections is minimal, and it becomes difficult to adapt the models applied abroad due to the missing information. The aim of this study is to create pavement condition index prediction models by evaluating such quantitative and qualitative indicators as traffic loads, road surface unevenness, type of repair, pavement age, climatic zones, and pavement construction classes.","PeriodicalId":55402,"journal":{"name":"Baltic Journal of Road and Bridge Engineering","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Baltic Journal of Road and Bridge Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7250/bjrbe.2023-18.609","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0

Abstract

Surveying the condition of the pavement is one of the most important processes in managing the road network. The information collected during these surveys allows for the calculation of the Pavement Condition Index, which is a derivative cumulative qualitative indicator that evaluates various pavement characteristics and defects. Deterioration modelling of these measured indicators and calculated indices is a critical element and its most accurate prediction brings the process of pavement management closer to a higher quality process by more efficiently allocating funds and repair work. Many different models – both extremely complex and simple – are used in the world to simulate the condition of individual pavement indicators. However, these models are developed based on the data of a certain country or region and are not suitable in another country due to different requirements for pavement structures and other reasons. In Lithuania, measurements of the quality indicators of road surfaces with new generation survey equipment have been carried out recently but the information stored in the databases about road sections is minimal, and it becomes difficult to adapt the models applied abroad due to the missing information. The aim of this study is to create pavement condition index prediction models by evaluating such quantitative and qualitative indicators as traffic loads, road surface unevenness, type of repair, pavement age, climatic zones, and pavement construction classes.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于路面状况扫描数据的全国路网路网网级分析路面状况指标劣化模型
路面状况的测量是道路网管理中最重要的过程之一。在这些调查中收集的信息可以用于计算路面状况指数,这是一个衍生的累积定性指标,用于评估各种路面特征和缺陷。这些测量指标和计算指标的退化建模是一个关键因素,其最准确的预测通过更有效地分配资金和维修工作,使路面管理过程更接近于更高质量的过程。世界上有许多不同的模型——既有极其复杂的,也有简单的——被用来模拟单个路面指示器的状况。但是,这些模型都是根据某一国家或地区的数据开发的,由于对路面结构的要求不同等原因,并不适用于另一个国家。在立陶宛,最近使用新一代测量设备对路面质量指标进行了测量,但数据库中存储的路段信息很少,由于信息缺失,难以适应国外应用的模型。本研究的目的是通过评价交通荷载、路面不平度、修复类型、路面年龄、气候带、路面施工等级等定量和定性指标,建立路面状况指数预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Baltic Journal of Road and Bridge Engineering
Baltic Journal of Road and Bridge Engineering 工程技术-工程:土木
CiteScore
2.10
自引率
9.10%
发文量
25
审稿时长
>12 weeks
期刊介绍: THE JOURNAL IS DESIGNED FOR PUBLISHING PAPERS CONCERNING THE FOLLOWING AREAS OF RESEARCH: road and bridge research and design, road construction materials and technologies, bridge construction materials and technologies, road and bridge repair, road and bridge maintenance, traffic safety, road and bridge information technologies, environmental issues, road climatology, low-volume roads, normative documentation, quality management and assurance, road infrastructure and its assessment, asset management, road and bridge construction financing, specialist pre-service and in-service training;
期刊最新文献
Traffic Load Model Calibration and Comparison to Evolving Traffic Loads In 2014–2018 Research of Porous Asphalt Concrete Application on Highway Sections with The Increased Aquaplaning Danger Level An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads Screen-Out Stones Activated with Mineral Binders and Used as Material for Earth Construction Influence of Nonlinear Analysis Technology on Damage Analysis of Asphalt Pavement Structure
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1