{"title":"Development of International Roughness Index from Pavement Distress Using Artificial Neural Networks (ANNs)","authors":"A. Ali, Mohamed Esekbi, M. Sreh","doi":"10.21608/ijaebs.2023.165192.1054","DOIUrl":null,"url":null,"abstract":"Roughness index forecasts are essential for optimizing pavement rehabilitation and treatment programs. The main objective of this study is to investigate the effect of pavement distress on pavement performance and develop International Roughness Index models (IRI) for dry no freeze regions in the U","PeriodicalId":360790,"journal":{"name":"International Journal of Advanced Engineering and Business Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Engineering and Business Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21608/ijaebs.2023.165192.1054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Roughness index forecasts are essential for optimizing pavement rehabilitation and treatment programs. The main objective of this study is to investigate the effect of pavement distress on pavement performance and develop International Roughness Index models (IRI) for dry no freeze regions in the U