Pavement roughness prediction models are generally simplifications of the actual relationships because of the complexity associated with the interaction between the various factors that affect deterioration. Models for roughness progression for flexible pavements using simplified incremental algorithms with actual field data of primary variables are presented. The field data used is obtained for flexible pavements with lateritic gravel bases and subbases with surface treatment as wearing course in Ghana, West Africa. The data covered major primary and secondary highways carrying a wide spectrum of traffic loading. The results indicate that environmental factors and structural capacity have significant influence on roughness progression. The strength of the pavement has a greater influence than the traffic loading on roughness progression, other factors remaining the same. Restoring the structural capacity of flexible pavements through timely maintenance intervention may help arrest the rate of deterioration. Direct transferability of models between different environmental, physical and operating conditions has its limitations and is not advisable. (A)

  • Availability:
  • Corporate Authors:


    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Fekpe, E
    • Attoh-Okine, N O
  • Publication Date: 1995


  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00714474
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD
  • Created Date: Dec 27 1995 12:00AM