In order to study the regularity of road surface roughness, based on summarizing and analyzing the domestic and foreign road surface roughness prediction models, the representative aashto empirical model is selected as the prototype of road surface roughness prediction, and the rutting standard deviation prediction method is established The existing model is improved, and the typical pavement structure is tested by secondary compaction, pqi detection and IRI prediction, and the pavement roughness is predicted. The results show that the quantity and compression ratio of the mixture with different initial voids can be detected by secondary compaction test, and the unevenness of voids can be detected by Pqi and rapid compaction nondestructive testing instrument. Therefore, the improvement of the existing prediction model can make the prediction results more objective. And by using the second compression formula and the air voids measured in the field, the different compression amounts of each point can be calculated, and the standard deviation of the compression amounts can be taken as the standard deviation of the ruts; the ruts caused by the second compression can account for 7.4% ~ 17% of the total ruts It is necessary to pay attention to the role of secondary compaction in Rut Control and prediction.

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