LAUSR

ABSTRACT A study has been performed to develop long-term performance models for asphalt surfaces using condition data from two urban road networks. The performance of asphalt surfaces is assessed subjectively every two to three years considering the extent and severity of different distress types. They include cracking, deformation, texture loss, stone loss and patching of potholes and localised depressions. Different ratings are used for each condition then combined into one overall condition index referred to as Surface Inspection Rating (SIR). SIR is used to trigger the need for resurfacing operations. Performance models have been developed for these distresses and SIR considering the following factors; surface age, traffic loading, aggregate size and climatic conditions (rainfall and temperature). Multilevel analysis approach has been used to model the historical time series condition data. The results indicate that surface age, temperature and rainfall affect SIR in both networks and that traffic loading has a significant effect in one network.