| Popis: |
India has the second-largest road network system in the world. Roads are the most reliable and accessible system for transportation which determines the growth of the country. After construction, its condition goes on deteriorating with time due to several factors (load factors, environmental factors, etc.). Pavement performance prediction models developed by the researchers include models related to rutting, cracking, potholes, etc., and are applicable only for a specific set of traffic or environmental conditions. Thus, these models lack universal acceptance and applications. Development of realistic and efficient pavement condition rating model is very essential to determine the future condition of the pavement and its service life. An effort has been taken to identify the various parameters that affect the condition of the pavement and different tools used for modeling based on the literature review. The different tools for modeling include regression models, Markovian probabilistic process, multi-attribute utility theory, soft computing techniques, etc. |
