Table of Contents
ISRN Civil Engineering
Volume 2012 (2012), Article ID 565948, 8 pages
http://dx.doi.org/10.5402/2012/565948
Research Article

Cluster-Based Pavement Deterioration Models for Low-Volume Rural Roads

1Department of Civil Engineering, National Institute of Technology, Tiruchirappalli 620015, India
2Department of Civil Engineering, Indian Institute of Technology Madras, Chennai 600036, India

Received 31 July 2012; Accepted 23 September 2012

Academic Editors: S. Easa and B. Uy

Copyright © 2012 V. Sunitha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The management of low-volume rural roads in developing countries presents a range of challenges to road designers and managers. Rural roads comprise over 85 percent of the road network in India. The present study aims at development of deterioration models for the optimum maintenance management of the rural roads under a rural road programme namely Pradhan Mantri Gram Sadak Yojana (PMGSY) in India. Visual condition survey along the selected low-volume rural roads considers parameters like condition of shoulders, drainage features, cross-drainage structures, and camber, and pavement distresses, namely, potholes, crack area, and edge break, are collected for a period of three years. The deterioration models have a significant role in the pavement maintenance management system. However, the performance of a pavement depends on several factors. Cluster analysis can be used to group the pavement sections so that the performance of pavements in different clusters can be studied. Nonhierarchical clustering technique of k-means clustering was considered. Separate deterioration models have been developed for each of the clusters. A comparison of the models developed with and without clustered sections reveals that the clustering of pavement sections are preferred for the efficient rural road maintenance management.