DISTRESS PREDICTION MODELS FOR A NETWORK-LEVEL PAVEMENT MANAGEMENT SYSTEM
C L Saraf, K Majidzadeh
Abstract
C L Saraf, K Majidzadeh
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.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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