Large-scale maintenance and rehabilitation optimization for multi-lane highway asphalt pavement: a reinforcement learning approach

L Yao, Z Leng, J Jiang, F Ni - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Pavement maintenance and rehabilitation (M&R) optimization is of great importance to the
sustainable development of roadway infrastructure. Various models have been developed …

Deep reinforcement learning for long‐term pavement maintenance planning

L Yao, Q Dong, J Jiang, F Ni - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Inappropriate maintenance and rehabilitation strategies cause many problems such as
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …

[HTML][HTML] Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

L Barua, B Zou - International Journal of Transportation Science and …, 2022 - Elsevier
Abstract Maintenance and Rehabilitation (M&R) of airport pavement assets involves
considerable financial resources. As such, even modest improvement in M&R activity …

Network-based optimization system for pavement maintenance using a probabilistic simulation-based genetic algorithm approach

AA Elhadidy, EE Elbeltagi… - Journal of Transportation …, 2020 - ascelibrary.org
Forecasting future pavement performance is one of the main elements of an infrastructure
management system. Performance modeling, however, is not a simple task, particularly due …

Automated decision making in highway pavement preventive maintenance based on deep learning

J Li, G Yin, X Wang, W Yan - Automation in Construction, 2022 - Elsevier
Decision-making in highway preventive maintenance (PM) is generally costly and
complicated. An inappropriate maintenance strategy could yield a low efficiency of budget …

Sustainability-informed management optimization of asphalt pavement considering risk evaluated by multiple performance indicators using deep neural networks

J Xin, M Akiyama, DM Frangopol - Reliability Engineering & System Safety, 2023 - Elsevier
Sustainability considerations throughout the entire pavement life-cycle in the decision-
making process under uncertainty are needed to achieve optimal pavement management …

A deep reinforcement learning model for predictive maintenance planning of road assets: Integrating LCA and LCCA

M Latifi, FG Darvishvand, O Khandel… - arXiv preprint arXiv …, 2021 - arxiv.org
Road maintenance planning is an integral part of road asset management. One of the main
challenges in Maintenance and Rehabilitation (M&R) practices is to determine maintenance …

Multi-objective optimisation of in-service asphalt pavement maintenance schedule considering system reliability estimated via LSTM neural networks

J Xin, M Akiyama, DM Frangopol… - Structure and …, 2022 - Taylor & Francis
This article presents a novel system reliability-based framework for multi-objective
optimisation of preventive maintenance (PM) management of in-service asphalt pavement …

A newly developed hybrid method on pavement maintenance and rehabilitation optimization applying Whale Optimization Algorithm and random forest regression

H Naseri, H Jahanbakhsh, A Foomajd… - … Journal of Pavement …, 2023 - Taylor & Francis
Developing an accurate pavement prediction model plays a dominant role in pavement
M&R optimization. Despite employing different robust machine learning techniques to …

An intelligent decision-making framework for asphalt pavement maintenance using the clustering-PageRank algorithm

C Han, M Fang, T Ma, H Cao, H Peng - Engineering Optimization, 2020 - Taylor & Francis
With ever-increasing road mileages worldwide, more pavement deterioration and ageing
present great challenges to the maintenance and rehabilitation (M&R) of road pavement. In …