Timely rehabilitation and preservation of pavement systems are imperative to maximize benefits in terms of driver�s comfort and\r\nsafety. However, the effectiveness of any treatment largely depends on the time of treatment and triggers governed by treatment\r\nperformance models. This paper presents the development of rutting model for overlay treatment of composite pavement in the\r\nState of Louisiana. Various factors affecting the rutting of overlay treatment were identified. Regression analysis was conducted, and\r\nrut prediction model is generated. In order to better predict the pavement service life, the existing condition of the pavement was\r\nalso utilized through the model.The developedmodels provided a good agreement between the measured and predicted rut values.\r\nIt was found that the predictions were significantly improved, when existing pavement condition was incorporated.The resulting\r\nrutting model could be used as a good pavement management tool for timely pavement maintenance and rehabilitation actions to\r\nmaximize LADOTD benefits and driver�s comfort and safety
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