Development of Road Roughness Model Using Analytical Hierarchy Process for Rural Road Network in Himachal Pradesh

Road Asset Management is very crucial for the proper maintenance of highways. The network of roads is increasing at a rapid rate in India but simultaneously, strategic maintenance is also required at the same pace for economic considerations. Rural Roads in Himachal Pradesh plays a vital role in connecting the remotest area to the National Highways for transportation of goods and basic amenities. About 81% of the total road network in Himachal Pradesh contributes to the Rural Road Network only. The proper maintenance of this huge network is a challenging task for the highway authorities. International Roughness Index (IRI) plays an important role in developing maintenance strategies for the pavements. IRI depends upon various distress parameters such as cracking, raveling, potholes, rutting, patching etc. In the present study, attempts has been made to correlate International Roughness Index with various distress parameters so as to eliminate the cost incurred in determining IRI using expensive equipments. The Weightage has been given to each distress parameter based on a questionnaire survey using Analytical Hierarchy Process (AHP). The pavement distress data collected on selected twelve rural road stretches in the vicinity of Shimla and Solan districts of Himachal Pradesh is used to develop linear and non- linear regression model between IRI and distress parameters. Artificial Neural Network (ANN) is also used to develop the IRI model. All developed models have been studied, compared and it is found that non-linear regression model with a R2 value of 0.84 and MSE of 0.16 is considered as best model for predicting International Roughness Index as compared to other models.

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  • Supplemental Notes:
    • Abstract reprinted with permission from the publisher.
  • Authors:
    • Gupta, Aakash
    • Kumar, Pradeep
    • Gupta, Ashok Kumar
    • Kumar, Ashish
  • Publication Date: 2020-11

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References;
  • Pagination: pp 23-33
  • Serial:
    • Indian Highways
    • Volume: 48
    • Issue Number: 11
    • Publisher: Indian Roads Congress
    • ISSN: 0376-7256

Subject/Index Terms

Filing Info

  • Accession Number: 01762400
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jan 20 2021 1:56PM