Prediction of IRI in short and long terms for flexible pavements: ANN and GMDH methods

H Ziari, J Sobhani, J Ayoubinejad… - International journal of …, 2016 - Taylor & Francis
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 …

Determinants of the congestion caused by a traffic accident in urban road networks

Z Zheng, Z Wang, L Zhu, H Jiang - Accident Analysis & Prevention, 2020 - Elsevier
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 …

Prediction of pavement performance: Application of support vector regression with different kernels

H Ziari, M Maghrebi, J Ayoubinejad… - Transportation …, 2016 - journals.sagepub.com
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 …

Pavement performance prediction through fuzzy regression

NF Pan, CH Ko, MD Yang, KC Hsu - Expert Systems with Applications, 2011 - Elsevier
Accurate predictions of future pavement conditions are essential for determining the most
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

F Guo, X Zhao, J Gregory, R Kirchain - International Journal of …, 2022 - Taylor & Francis
ABSTRACT A novel weighted multi-output neural network (NN) model is proposed for
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

Q Dong, B Huang, SH Richards… - Journal of transportation …, 2013 - ascelibrary.org
The effectiveness and cost-effectiveness of resurfacing maintenance treatments applied to
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

H Ziari, J Sobhani, J Ayoubinejad… - Road materials and …, 2016 - Taylor & Francis
The accuracy of pavement performance prediction is a critical part of pavement
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 …

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 …

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 …