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A Research on the Association of Pavement Surface Damages Using Data Mining

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Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques (ICIC 2008)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 15))

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Abstract

The association of pavement surface damages used to rely on the judgments of the experts. However, with the accumulation of data in the pavement surface maintenance database and the improvement of Data Mining, there are more and more methods available to explore the association of pavement surface damages. This research adopts Apriori algorithm to conduct association analysis on pavement surface damages. From the experience of experts, it has been believed that the association of road damages is complicated. However, through case studies, it has been found that pavement surface damages are caused among longitudinal cracking, alligator cracking and pen-holes, and they are unidirectional influence. In addition, with the help of association rules, it has been learned that, in pavement surface preventative maintenance, the top priority should be the repair of longitudinal cracking and alligator cracking, which can greatly reduce the occurrence of pen-holes and the risk of state compensations.

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Author information

Authors and Affiliations

  1. Assistant Professor, Department of Transportation Technology and Supply Chain Management, Kainan University,  

    Ching-Tsung Hung

  2. Associate Professor, Department of Civil Engineering, Minghsin University of Science and Technology,  

    Jia-Ray Chang

  3. Ph.D. Candidate, Department of Civil Engineering, National Central University,  

    Jian-Da Chen

  4. Assistant Professor, Department of Civil Engineering, National Central University,  

    Chien-Cheng Chou

  5. Assistant Professor, Department of Traffic Engineering and Management, Feng Chia University,  

    Shih-Huang Chen

Authors
  1. Ching-Tsung Hung
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  2. Jia-Ray Chang
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  3. Jian-Da Chen
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  4. Chien-Cheng Chou
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  5. Shih-Huang Chen
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Editor information

De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Hung, CT., Chang, JR., Chen, JD., Chou, CC., Chen, SH. (2008). A Research on the Association of Pavement Surface Damages Using Data Mining. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2008. Communications in Computer and Information Science, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85930-7_5

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  • DOI: https://doi.org/10.1007/978-3-540-85930-7_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85929-1

  • Online ISBN: 978-3-540-85930-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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