1992Transportation Research Record Journal of the Transportation Research BoardRequires access

DISTRESS PREDICTION MODELS FOR A NETWORK-LEVEL PAVEMENT MANAGEMENT SYSTEM

C L Saraf, K Majidzadeh

Open publisher page 7 citations

Abstract

Distress prediction models play an important role in a pavement management system (PMS). These models are used to predict the condition of pavements treated with given maintenance and rehabilitation (MR this should be kept in mind while the models are extrapolated for traffic loadings beyond these limits.

About this research paper

What this paper is about

Distress prediction models play an important role in a pavement management system (PMS). These models are used to predict the condition of pavements treated with given maintenance and rehabilitation (MR this should be kept in mind while the models are extrapolated for traffic loadings beyond these limits.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Distress prediction models play an important role in a pavement management system (PMS). These models are used to predict the condition of pavements treated with given maintenance and rehabilitation (MR this should be kept in mind while the models are extrapolated for traffic loadings beyond these limits.

Key concepts: Pavement management, Predictive modelling, Distress, Engineering, Mathematical model, Pavement engineering, Driver rehabilitation, Rehabilitation

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