Eight deterioration models in HDM-4 have also been used to determine pavement performance. Comparison of design life has been made, and design life using AI design method due to vertical compressive strain on the top of the subgrade has been found to be governing while considering traffic using the spectrum of axle method. Asphalt Institute (AI) and Shell design methods have been considered using equivalent standard axle load (ESAL) and spectrum of axle methods of incorporating traffic for the design period. Design life in years has been determined using distress models in the KENLAYER computer program. The test section has seven layers, and it is a six-lane divided highway. This region has a humid, warm, and wet climate prevalent in the west coast of India. ![]() Prediction of performance and maintenance has been carried out for the test section located in Mumbai Metropolitan Region, India. HDM-4 computer software has been used for predicting the performance using pavement deterioration models and also for pavement maintenance. KENLAYER computer program has been used for determining the damage ratio using distress models. The main objectives of this study are to predict the performance of flexible pavement using two distress models in the KENLAYER computer program and eight deterioration models in Highway Development and Management (HDM-4) and provide appropriate maintenance at the appropriate time based on performance using HDM-4. This paper discusses the performance and maintenance of flexible pavement.
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