To solve the problem of flatness prediction of cement pavement in seasonal frozen region

the international roughness index (IRI) prediction revised model of cement pavement in frozen season was constructed using MEPDG. The model takes into account the traffic conditions

climatic conditions

and the characteristics of the materials of the pavement layers. The trends of CRK

TFAULT

SPALL

and SF were analyzed and verified with IRI correlation on the basis of the original prediction model. SPSS analysis software was used to obtain the prediction revised model of cement pavement roughness index in seasonal frozen region. The cement pavement survey data of Heilongjiang Province was used to verify this model. The results show that climate

traffic

and material parameters had significant influence on the four indexes CRK

TFAULT

SPALL

and SF. These indicators and international flatness index were linearly fitted with high reliability. The number of traffic

precipitation

rainfall

wet days

the number of freeze-thaw cycles

and the performance of pavement materials can be used to predict the international flatness index of cement pavement in seasonal frozen region. The accuracy of the model was high

with good practicability and high predictive performance.