According to the definition of the American Association of State Highway and Transportation Officials (AASHTO), a Pavement Management System (PMS) is a set of tools or methods that assist decisionmakers in finding optimum strategies for providing, evaluating and maintaining pavements in a serviceable condition over a period of time. The purpose of pavement management systems is to help in making cost-effective decisions related to pavements. It has been shown that, implementing properly designed and developed PMS depends mainly on three factors: Reliable data, realistic models for processing the data and user-friendly software for organizing the inputs and presenting the outputs. This paper presents the development of pavement performance prediction models for the selected arterial and sub-Arterial roads in Tiruchirappalli city of Tamil Nadu, India. Road inventory data, pavement condition data and roughness data of the study area were collected periodically during pre monsoon and post monsoon seasons for five years from 2010 to 2015. The Pavement Condition Index is calculated for the road sections. A quadratic regression model is developed to represent the pavement deterioration characteristics and various maintenance activities have been identified for treatment. The Optimization model was developed using the GAMS (Generic Algebraic Modeling System) software after formulating the objective function and the constraints. © Copyright 2016 by Mairepav8 2016 Organizers.