Development of Remodeling Index Prediction Model of Deteriorated Asphalt Pavements for Large-Scale Repair Works

초록

A large-scale pavement remodeling project is being introduced in Korea to address the increasing number of deteriorated expressway pavements. Given the substantial expenses involved, akin to constructing new pavements, remodeling necessitates careful long-term planning. Consequently, a prediction model for the remodeling index (RMI) of asphalt pavements has been developed. The urgency of remodeling asphalt pavement sections is assessed using a remodeling index derived from video footage capturing pavement conditions filmed from a driving vehicle. This data is utilized to create the prediction model. Additionally, a model predicting the annual change in the RMI is formulated based on fluctuations in pavement condition factors, such as the international roughness index, rut depth, and surface distress. To further refine these predictions, models for estimating annual changes in pavement condition factors are constructed through statistical analysis of influencing factors. Finally, to forecast future remodeling needs, a model predicting the future RMI of expressway asphalt pavements is established, integrating the present RMI prediction model and annual change predictions. The validity of the RMI prediction model is affirmed through statistical analysis, ensuring its reliability in assessing pavement remodeling urgency.

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