Presenting a Pavement Performance Model Based on Pavement Condition Index Using Long-Term Pavement Performance Data

The best method of efficient management in the field of transport infrastructure is to accurately predict the conditions and performance of pavement in the future. By reducing errors in estimating pavement failure, significant economic savings can be made by timely assessment and careful planning. The purpose of this research study is to develop a method for calculating the pavement status index (PCI) based on pavement failure data collected in the long-term pavement performance plan (LTPP) database. Prefabricated Excel software templates are used to transfer faulty data from databases and directly calculate PCIs for developed test units. The main pavement performance curve based on PCIs has also been analyzed and evaluated as part of this research. Analysis of LTPP data results for several case studies showed that the method of this research is reasonable and statistical parameters showed that the accuracy of this model is good to excellent. The above developed PCI models can be used in InfoPaveTM input data, so that users can calculate the PCIs of their desired road sections with the results of this research. PCI-based performance model development can also be added in future versions of InfoPaveTM. Although the present study has examined the sections related to asphalt pavement, but its method can be generalized to experimental sections with concrete pavement. The results showed that the developed model is closely related to the observed values and is suitable for the main performance curve, and it can be used to predict the performance of the pavement network.