Prediction of IRI in short and long terms for flexible pavements: ANN and GMDH methods
Prediction of pavement condition is one of the most important issues in pavement
management systems. In this paper, capabilities of artificial neural networks (ANNs) and …
management systems. In this paper, capabilities of artificial neural networks (ANNs) and …
Determinants of the congestion caused by a traffic accident in urban road networks
Non-recurrent congestion is frustrating to travelers as it often causes unexpected delay,
which would result in missing important meetings or appointments. Major causes of non …
which would result in missing important meetings or appointments. Major causes of non …
Prediction of pavement performance: Application of support vector regression with different kernels
The pavement performance model is a basic part of the pavement management system. The
prediction accuracy of the model depends on the number of effective variables and the type …
prediction accuracy of the model depends on the number of effective variables and the type …
Pavement performance prediction through fuzzy regression
Accurate predictions of future pavement conditions are essential for determining the most
cost-effective maintenance strategy. The current methods for assessing pavement conditions …
cost-effective maintenance strategy. The current methods for assessing pavement conditions …
A weighted multi-output neural network model for the prediction of rigid pavement deterioration
ABSTRACT A novel weighted multi-output neural network (NN) model is proposed for
predicting the deterioration of rigid pavements based on Iowa pavement management …
predicting the deterioration of rigid pavements based on Iowa pavement management …
Cost-effectiveness analyses of maintenance treatments for low-and moderate-traffic asphalt pavements in Tennessee
The effectiveness and cost-effectiveness of resurfacing maintenance treatments applied to
low-and moderate-traffic asphalt pavements in Tennessee were evaluated based on the …
low-and moderate-traffic asphalt pavements in Tennessee were evaluated based on the …
Analysing the accuracy of pavement performance models in the short and long terms: GMDH and ANFIS methods
The accuracy of pavement performance prediction is a critical part of pavement
management and directly influences maintenance and rehabilitation strategies. Many …
management and directly influences maintenance and rehabilitation strategies. Many …
Linear mixed-effects models for paint pavement-marking retroreflectivity data
JE Hummer, W Rasdorf, G Zhang - Journal of transportation …, 2011 - ascelibrary.org
The objective of this paper is to present an improved paint pavement-marking retroreflectivity
degradation model. Previous degradation-modeling methods were reviewed and studied …
degradation model. Previous degradation-modeling methods were reviewed and studied …
Pavement management with dynamic traffic and artificial neural network: a case study of Montreal
MSR Amin, LE Amador-Jiménez - Canadian Journal of Civil …, 2016 - cdnsciencepub.com
This study improves the pavement management system by developing a linear
programming optimization for the road network of the City of Montreal with simulated traffic …
programming optimization for the road network of the City of Montreal with simulated traffic …
Explaining heterogeneity in pavement deterioration: Clusterwise linear regression model
W Zhang, PL Durango-Cohen - Journal of Infrastructure Systems, 2014 - ascelibrary.org
A clusterwise linear regression model of pavement deterioration is presented. The model
provides a framework to simultaneously segment a population and to describe performance …
provides a framework to simultaneously segment a population and to describe performance …