Analysis of Flexible Pavement Serviceability Using ANN for Urban Roads

摘要

Serviceability is an indicator that represents the level of service a pavement provides to the users. This subjective opinion is closely related to objective aspects, which can be measured on the pavement's surface. Modelling the present serviceability index is very important in pavement management system. In the present study, the present serviceability index (PSI) has been analyzed using artificial neural networks (ANN) for the flexible pavements of urban roads. The study area considered constitutes of 21 urban road sections for the Noida city in the NCR of New Delhi, capital of India. Field data collected includes slope variance, rut depth, patches, cracking and longitudinal cracking for two consecutive years on the selected road network. The developed ANN model has also been compared with model developed using multi-linear regression analysis.