In the forecasting process of pavement performance indicators,there is usually the error fluctuation between the predicted value and measured value because of using different maintenance methods.In order to solve this problem,the prediction model based on the standard decay equation suggested by Professsor Sun Lijun of Tongji University was taken as the basis of prediction model for forecasting the performance variation of a certain number of sections on the Jiaxing part of S101 provincial road.According to the data about the pavement structure,its thickness and the volume of traffic,the weight values of pavement surface condition index (PCI) and riding quality index (RQI) which are the most dominant among the commonly used pavement quality indices (PQI) were predicted.The predicted data of decay equation were further revised by adopting the Markov transfer matrix method,which provides a reliable basis for the next maintenance decision.