Prediction of Potholes for PMGSY Roads in India

Authors

  • C. Makendran
  • M. Afzal Ali Baig
  • R. Dinesh Kumar
  • P. Arunarani
  • S. Sivaramakrishnan

Abstract

Potholes are indicating the performance of pavements. Potholes directly affect safety, travelling time and Vehicle Operating Cost (VOC). In this study, performance prediction of pothole model for Pradhan Mantri Gram Sadak Yojana (PMGSY) in the state of Tamil Nadu, India. To evaluate the progression of potholes is the universal performance indicator of flexible pavements. Globally more prediction models were developed till today. Not all the models are applicable for all pavements. Many models are implemented only for the standard road with high traffic volume of highways. The standard models are dependent on local condition variable parameters of pavement, which are soil strength, pavement material composition and traffic. In this study, Multiple Linear Regression Analysis (MLRA) technique is proposed to evaluate the performance prediction of PMGSY roads. The model includes variable and distress parameter cracking prediction in India. Based on the results, this prediction model can be recommended as a decision-supporting tool for road maintenance on PMGSY roads

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Published

2020-02-04

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Section

Articles