Skip to main content

Fuzzy Logic Based Modeling for Pavement Characterization

  • Conference paper
Materials for Sustainable Infrastructure (GeoMEast 2017)

Abstract

Maintenance decisions of existing pavements are highly dependent on stiffness and deterioration conditions, throughout their operation. A methodology based on non-conventional fuzzy logic is proposed in this work to evaluate the structural, functional and deterioration conditions of pavements by Fuzzy Inference Systems (FIS). The developed systems, allowed representing expert knowledge and linguistic variables of subjective and qualitative nature, commonly used to describe the severity levels of deterioration, strength and stiffness; thus FIS can be involved into structural characterization of pavements. Analyses were conducted using a database obtained from field tests performed on several pavement systems of toll roads in Colombia. Information about layer thicknesses, magnitude and severity of structural distresses, parameters and indicators derived from deflection test and International Roughness Index measures (IRI) were used. Results were expressed linguistically to make easier the interpretation and understanding. Based on the high quality of results obtained, it seems reasonable to conclude that the proposed methodology could be used confidently for a pavement characterization and sectorization purposes, with low computational cost.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • AASHTO. AASHTO guide for design of pavement structures (1993)

    Google Scholar 

  • Arliansyah, J., Maruyama, T., Takahashi, O.: A development of fuzzy pavement condition assesment. JSCE 746, 275–285 (2003)

    Google Scholar 

  • Beltrán, G.: Evaluación Estructural de Pavimentos Flexibles con Métodos de Inteligencia Artificial y Auscultación No Destructiva. Universidad Nacional Autónoma de México (2012)

    Google Scholar 

  • Koduru, H.K., Xiao, F., Amirkhanian, S.N., Juang, C.H.: Using fuzzy logic and expert system approaches in evaluating flexible pavement distress: case study. J. Transp. Eng. 136(2), 149–157 (2010)

    Article  Google Scholar 

  • Horak, E., y Emery, S.: Falling weight deflectometer bowl parameters as analysis tool for pavement structural evaluations. In: 22nd Australian Road Research Board International Conference, Australia (2006)

    Google Scholar 

  • Mahmood, M., Rahman, M., Nolle, L., Mathavan, S.: A fuzzy logic approach for pavement section classification. Int. J. Pavement Res. Technol. 6(5), 620–626 (2013)

    Google Scholar 

  • Moazami, D., Behbahani, H., Muniandy, R.: Pavement rehabilitation and maintenance prioritization of urban roads using fuzzy logic. Expert Syst. Appl. 38(10), 12869–12879 (2011)

    Article  Google Scholar 

  • Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)

    Article  Google Scholar 

Download references

Acknowledgments

We thank H&F Ingenieria who provided measures information used to validate and test the proposed system.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mercado Pérez José Luis .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Luis, M.P.J., Inés, B.C.G. (2018). Fuzzy Logic Based Modeling for Pavement Characterization. In: Struble, L., Tebaldi, G. (eds) Materials for Sustainable Infrastructure. GeoMEast 2017. Sustainable Civil Infrastructures. Springer, Cham. https://doi.org/10.1007/978-3-319-61633-9_3

Download citation

Publish with us

Policies and ethics