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A new PQI model was developed using the optimum predicted long-term performance with the application of the grey rational degree theory. Grey models of different types of indicators are then established for predicting long-term performance. Firstly, over 5,375,000 data points from the Guangdong Province are collected and processed using the Pauta criterion and short-term trends of selected performance indicators including pavement surface condition index (PCI), riding quality index (RQI), rut depth index (RDI), and skid resistance index (SRI) are analysed. This paper presents and demonstrates a methodology for evaluating a micro-surfacing treatment on asphalt pavement based on the grey system model and grey relational degree theory.
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