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Study on the Evaluation and Prediction of Asphalt Pavement Performance Based on the Decision Tree
Pages: 18-22
Year: Issue:  4
Journal: Highway

Keyword:  decision treeasphalt pavementpavement performanceevaluation and predictionSPSS Clementine;
Abstract: Accurate pavement performance evaluation and prediction can provide scientific decisionmarking basis for pavement maintenance management.Regarding the existing problems of statistical method,model of matter element and neural network for asphalt pavement performance evaluation,the decision tree model is presented.Several main evaluation indexes determined by current specifications are employed to evaluate the performance of asphalt pavement.The decision tree evaluation model of asphalt pavement with SPSS Clementine for data mining software is presented based on pavement performance data of Shenyang-Dalian Expressway.Compared with the results based on model of matter element,it could be indicated that the classification tree is feasible and effective,evaluation and prediction of the regression tree is accurate and show special advantages.This decision tree model is proved to be a reliable and new practical method for evaluation and prediction of asphalt pavement performance.
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