2009Guangdong Highway CommunicationsRequires access

Pavement Performance Prediction Model for Asphalt Pavement

Lei Chaoxu

Open publisher page 1 citations

Abstract

There are many types of models for prediction pavement performance. In order to choosing a more reasonable model,the prediction results and applicability are discussed of sigmoid model,multinomial model,exponential model and Markov probability model with real pavement data in this paper. The results show that each model has some applicability and limitations,while sigmoid model presents better general prediction ability,and it can be used conveniently and has more universal applicability. The results are significant for choosing prediction models of pavement performance and the decision-making of pavement maintenance.

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What this paper is about

There are many types of models for prediction pavement performance. In order to choosing a more reasonable model,the prediction results and applicability are discussed of sigmoid model,multinomial model,exponential model and Markov probability model with real pavement data in this paper. The results show that each model has some applicability and limitations,while sigmoid model presents better general prediction ability,and it can be used conveniently and has more universal applicability. The results are significant for choosing prediction models of pavement performance and the decision-making of pavement maintenance.

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Available abstract

There are many types of models for prediction pavement performance. In order to choosing a more reasonable model,the prediction results and applicability are discussed of sigmoid model,multinomial model,exponential model and Markov probability model with real pavement data in this paper. The results show that each model has some applicability and limitations,while sigmoid model presents better general prediction ability,and it can be used conveniently and has more universal applicability. The results are significant for choosing prediction models of pavement performance and the decision-making of pavement maintenance.

Key concepts: Sigmoid function, Asphalt pavement, Computer science, Predictive modelling, Performance prediction, Markov model, Pavement engineering, Multinomial distribution

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