Prediction of remaining service life of pavement using an optimized support vector machine (case study of Semnan–Firuzkuh road)

Estimation of the prerequisites for the maintenance, repair, rehabilitation and reconstruction of pavement is one of the requirements for the design and maintenance of the structure of pavement. The pavement design methods are based on providing a proper prediction of the structure of pavement to keep it in permissible condition. The term'remaining service life' (RSL) refers to the time it takes for the pavement to reach an unacceptable status and need to be rehabilitated or reconstructed (Elkins, Thompson, Groerger, Visintine, & Rada, 2013 Elkins, G. E., Thompson, T. M., Groerger, J. L., Visintine, B., & Rada, G. R. (2013). Prediction of the RSL is a basic concept of pavement maintenance planning. Awareness of the future conditions of pavement is a key point in making decisions in the planning of pavement maintenance. On the other hand, we know that pavement optimization methods are urgently needed to predict changes in pavement conditions over a defined period of time.