Feature of development for risk management in Pavement Maintenance system

The goal of this paper is to summarize some practical issues of date research concerning the development and implementation of the risk management application Risk3M for Pavement Maintenance and Management System (PMMS). The paper also illustrates the need for potential development of such a risk system for analysis and risk factors and mitigation in pavement maintenance and rehabilitation strategies. We use a particular implementation of the k-nearest neighbors (k-NN) algorithm as a non parametric alternative method for reference class forecasting, based on mathematical kernel density estimate.