Multi-objective optimization for pavement maintenance and rehabilitation decision-making: A critical review and future directions

W Chen, M Zheng - Automation in construction, 2021 - Elsevier
The next-generation of pavement maintenance and rehabilitation (M&R) decision-making
needs to weigh multiple strategic goals to achieve sustainable development through the …

[HTML][HTML] Multi-objective optimization in highway pavement maintenance and rehabilitation project selection and scheduling: A state-of-the-art review

M Pourgholamali, S Labi, KC Sinha - Journal of Road Engineering, 2023 - Elsevier
The motivation for cost-effective management of highway pavements is evidenced not only
by the massive expenditures associated with these activities at a national level but also by …

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] Urban surface uses for climate resilient and sustainable cities: A catalogue of solutions

S Croce, D Vettorato - Sustainable Cities and Society, 2021 - Elsevier
In the current scenario of massive urbanization and global climate change, the urban
surfaces and their characteristics have a key role, as they significantly influence the quality …

[HTML][HTML] Interactive knowledge discovery and knowledge visualization for decision support in multi-objective optimization

H Smedberg, S Bandaru - European Journal of Operational Research, 2023 - Elsevier
In many practical applications, the end-goal of multi-objective optimization is to select an
implementable solution that is close to the Pareto-optimal front while satisfying the decision …

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 …

Developing an optimized faulting prediction model in Jointed Plain Concrete Pavement using artificial neural networks and random forest methods

M Ehsani, F Moghadas Nejad… - International journal of …, 2023 - Taylor & Francis
Predicting faulting failure is useful in the optimal concrete pavement design. In this study,
artificial neural networks and the random forest method have been used to predict the …

[HTML][HTML] Integration of deep learning techniques and sustainability-based concepts into an urban pavement management system

T García-Segura, L Montalbán-Domingo… - Expert Systems with …, 2023 - Elsevier
Pavement management systems (PMS) were typically developed to manage interurban
networks. This paper presents an urban pavement management system (UM-PMS) that …

A fuzzy logic expert system for selecting optimal and sustainable life cycle maintenance and rehabilitation strategies for road pavements

J Santos, C Torres-Machi, S Morillas… - International journal of …, 2022 - Taylor & Francis
Aged road pavements and insufficient maintenance budgets, along with increasing
concerns over the environmental issues related to transportation have introduced additional …

Sustainable pavement maintenance and rehabilitation planning using differential evolutionary programming and coyote optimisation algorithm

H Naseri, M Ehsani, A Golroo… - International Journal of …, 2022 - Taylor & Francis
ABSTRACT CO2 emission reduction in large-scale pavement network maintenance
planning has been an immense concern. The conventional single-objective optimisation …