Use of random forests regression for predicting IRI of asphalt pavements

H Gong, Y Sun, X Shu, B Huang - Construction and Building Materials, 2018 - Elsevier
Random forest is a powerful machine learning algorithm with demonstrated success. In this
study, the authors developed a random forests regression (RFR) model to estimate the …

Optimizing asphalt mix design through predicting the rut depth of asphalt pavement using machine learning

J Liu, F Liu, C Zheng, D Zhou, L Wang - Construction and Building Materials, 2022 - Elsevier
Generally, when asphalt concrete (AC) is in the design phase, the rutting development of the
actual pavement is always not considered. Traditional simulative wheel-tracking tests, which …

Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks

H Gong, Y Sun, Z Mei, B Huang - Construction and Building Materials, 2018 - Elsevier
Rutting in asphalt pavement is a critical design criterion in the Mechanistic-Empirical
Pavement Design Guide (MEPDG). However, many studies have shown that the rutting …

Condition Based Maintenance Planning of low volume rural roads using GIS

A Nautiyal, S Sharma - Journal of Cleaner Production, 2021 - Elsevier
The functional rural road network has a significant effect on the socio-economic growth of a
nation. Newly constructed road pavements deteriorate with time, their regular maintenance …

Incorporating cost uncertainty and path dependence into treatment selection for pavement networks

F Guo, J Gregory, R Kirchain - Transportation Research Part C: Emerging …, 2020 - Elsevier
This paper proposes a new probabilistic treatment path dependence (PTPD) model for
budget allocation within pavement network management problems. During the evaluation of …

Cost-effectiveness evaluation of pavement maintenance treatments using multiple regression and life-cycle cost analysis

Y Pan, Y Shang, G Liu, Y Xie, C Zhang… - Construction and Building …, 2021 - Elsevier
The present study compared the effectiveness and cost-effectiveness of four pavement
treatments, including hot in-place recycling, milling and filling, thin HMA overlay and …

Performance evaluation of crumb rubber-modified asphalt mixtures based on laboratory and field investigations

M Irfan, Y Ali, S Ahmed, I Hafeez - Arabian Journal for Science and …, 2018 - Springer
Research studies often propose additives to improve the mechanical properties that extend
pavement service life by reducing the rate of permanent deformation of conventional asphalt …

Sustainable road design through multi-objective optimization: A case study in Northeast India

S Inti, SA Kumar - Transportation research part D: transport and …, 2021 - Elsevier
The development of a sustainable road network in Northeast India is challenging due to the
rough terrain, inclement weather, budgetary constraints, and lack of skilled workforce …

Pavement treatment short-term effectiveness in IRI change using long-term pavement program data

P Lu, D Tolliver - Journal of transportation engineering, 2012 - ascelibrary.org
This paper finds that pavement treatment short-term effectiveness in international roughness
index (IRI) follows a polynomial relationship with a pretreatment pavement condition …

IRI estimation based on pavement distress type, density, and severity: Efficacy of machine learning and statistical techniques

Y Qiao, S Chen, M Alinizzi, M Alamaniotis… - Journal of Infrastructure …, 2022 - ascelibrary.org
Abstract The International Roughness Index (IRI) is widely used in evaluating pavement
condition, making repair decisions, assessing ride comfort, and estimating vehicle operating …