Development of Pavement Roughness Model and Maintenance Priority Index for Kerala State Highway I Minu P K Sreedevi B G M. Tech scholar, Transportation Engineering National Transportation Planning And Research Centre RIT, Kottayam (NATPAC), Kothamangalam, Ernakulam, India Pattom, Thiruvananthapuram, India Roshina Babu Asst.Professor RIT Kottayam Kerala, India Abstract—The present study developed a Maintenance Priority Index (MPI) for the six sections of the State Highway (SH-1) using certain factors affecting pavement maintenance. The factors considered in this study were pavement condition, riding quality, traffic characteristics, land use characteristics and characteristic deflection of the pavement. A relationship between pavement roughness and distress parameters like area of ravelling, cracked area etc. also developed. The pavement distress data was collected on SH stretching from Vetturoad to Adoor. Roughness survey was conducted using Bump integrator and Benkelman beam was used for the measurement of deflections in the pavement. Pavement Condition Indexes (PCI) for each section was determined. The relation between pavement distress and pavement roughness was modelled using Multiple Linear Regression (MLR) analysis. The models were significant as the forecasting errors were within the limits. Keywords—Maintenance Priority Index, Pavement condition Index, Distress parameters, Pavement roughness. I. INTRODUCTION Pavement evaluation is an integral part of the Pavement Management System (PMS). Evaluating structural condition and functional condition of existing, in-service pavements constitutes annually a major part of the maintenance and rehabilitation activities undertaken by State Highway Agencies. The structural and functional condition of the pavements changes with passage of time due to the combined effects of its structural adequacy, composition and loading characteristics of traffic, environment conditions and the maintenance inputs provided. The process of accumulation of damage is called deterioration and the failure of pavement is said to have reached at the limiting stage of serviceability level. The physical sign of internal damage, for example cracking, rutting, potholes etc. are known as distress, which are the indicators of the pavement condition. Pavement visual condition surveys are used for the measurement of pavement distresses. Pavement condition index and pavement roughness are used as indices for representing pavement functional condition. Structural condition of the pavement generally evaluated in terms of characteristic deflection of the pavements. Roughness has been universally accepted as a measure of functional condition of a pavement. The riding quality of the road pavement, major indicator of its service performance, was determined using the international roughness index (IRI). Maintenance Priority Index (MPI) is a rating used to prioritize the maintenance schedule of pavement based on the certain factors affecting maintenance. The present study develops a Maintenance Priority Index by using PCI, IRI, traffic, land use characteristic and characteristic deflection of pavement. The present research study was limited to six road sections distributed on one State High way road in Thiruvananthapuram district of the state of Kerala. II. OBJECTIVES OF STUDY Objectives of the study included,  Identification of the different types of distresses on flexible pavement.  Determination of the pavement condition index of the pavement.  Development of a relationship between pavement distresses, age and pavement roughness.  Development of a Maintenance Priority Index for the pavement. III. LITERATURE REVIEW In order to achieve a clear knowledge in the field of pavement performance and modelling techniques, a literature review was performed. Large numbers of studies have been conducted globally for developing pavement performance models. Reddy and Veeraragavan (1997) developed deterioration models for in-service flexible pavements in India. They modelled future condition as the function of present condition, pavement strength, incremental traffic and age characteristics, and climate. Mactutis et al.(2000) developed linear regression models between IRI and percentage cracking and average rut depth on International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 www.ijert.org IJERTV3IS110683 (This work is licensed under a Creative Commons Attribution 4.0 International License.) Vol. 3 Issue 11, November-2014 908