The predicted model of international roughness index for drainage asphalt pavement

Chien Ta Chen, Ching Tsung Hung, Chien Cheng Chou, Ziping Chiang, Jyh Dong Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Roughness is a very important performance indicator in pavement maintenance management systems. The international rough index (IRI) of indicators was used as the core of roughness measuring of degree gradually in recent years domestically, but to predict a smooth degree of indicators the method is set up differently as there is a different prediction indicator because the theoretical foundation is different. This research bases its measurement data on the porous asphalt pavement of national highway number 3. We predicts the deterioration of IRI by different ways, including grey forecast, multiple regression, genetic programming. The result of this research found that there are better results in genetic programming method prediction than roughness index foundation method. The reason that it accords with the best prediction result is that heredity can carry on the change to plan in the parameter.

Original languageEnglish
Title of host publicationAdvanced Intelligent Computing Theories and Applications
Subtitle of host publicationWith Aspects of Theoretical and Methodological Issues - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings
Pages937-945
Number of pages9
DOIs
StatePublished - 2008
Event4th International Conference on Intelligent Computing, ICIC 2008 - Shanghai, China
Duration: 15 Sep 200818 Sep 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5226 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Intelligent Computing, ICIC 2008
Country/TerritoryChina
CityShanghai
Period15/09/0818/09/08

Keywords

  • And multiple regressions
  • Genetic programming
  • Grey forecast
  • International roughness index
  • Pluralism regression

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