Pavement maintenance scheduling using genetic algorithms
This paper presents a new pavement management system (PMS) to achieve the optimal pavement maintenance and rehabilitation (M&R) strategy for a highway network using genetic algorithms (GAs). Optimal M&R strategy is a set of pavement activities that both minimise the maintenance cost of a hig...
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| Format: | Article |
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RAMS Consultants
2015
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| Online Access: | https://eprints.nottingham.ac.uk/35317/ |
| _version_ | 1848795050650107904 |
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| author | Yang, Chao Remenyte-Prescott, Rasa Andrews, John D. |
| author_facet | Yang, Chao Remenyte-Prescott, Rasa Andrews, John D. |
| author_sort | Yang, Chao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper presents a new pavement management system (PMS) to achieve the optimal pavement maintenance and rehabilitation (M&R) strategy for a highway network using genetic algorithms (GAs). Optimal M&R strategy is a set of pavement activities that both minimise the maintenance cost of a highway network and maximise the pavement condition of the road sections on the network during a certain planning period. NSGA-II, a multi-objective GA, is employed to perform pavement maintenance optimisation because of its robust search capabilities and constraint handling method that deal with the multi-objective and multi-constrained optimisation problems. In the proposed approach, both deterministic and probabilistic pavement age gain models are utilised for evaluating the evolution of pavement condition over time because of their simplicity of application. The proposed PMS is applied to a case study network that consists of different kinds of road sections. The results obtained indicate that the model is a valuable toolbox for pavement engineers. |
| first_indexed | 2025-11-14T19:25:56Z |
| format | Article |
| id | nottingham-35317 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:25:56Z |
| publishDate | 2015 |
| publisher | RAMS Consultants |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-353172020-05-04T17:01:48Z https://eprints.nottingham.ac.uk/35317/ Pavement maintenance scheduling using genetic algorithms Yang, Chao Remenyte-Prescott, Rasa Andrews, John D. This paper presents a new pavement management system (PMS) to achieve the optimal pavement maintenance and rehabilitation (M&R) strategy for a highway network using genetic algorithms (GAs). Optimal M&R strategy is a set of pavement activities that both minimise the maintenance cost of a highway network and maximise the pavement condition of the road sections on the network during a certain planning period. NSGA-II, a multi-objective GA, is employed to perform pavement maintenance optimisation because of its robust search capabilities and constraint handling method that deal with the multi-objective and multi-constrained optimisation problems. In the proposed approach, both deterministic and probabilistic pavement age gain models are utilised for evaluating the evolution of pavement condition over time because of their simplicity of application. The proposed PMS is applied to a case study network that consists of different kinds of road sections. The results obtained indicate that the model is a valuable toolbox for pavement engineers. RAMS Consultants 2015-03-01 Article PeerReviewed Yang, Chao, Remenyte-Prescott, Rasa and Andrews, John D. (2015) Pavement maintenance scheduling using genetic algorithms. International Journal of Performability Engineering, 11 (2). pp. 135-152. ISSN 0973-1318 Pavement Management System Maintenance and Rehabilitation Strategy Genetic Algorithms NSGA-II Pavement Age Gain Model http://www.ijpe-online.com/march-2015-p3-pavement-maintenance-scheduling-using-genetic-algorithms.html#axzz4F32mnhrC |
| spellingShingle | Pavement Management System Maintenance and Rehabilitation Strategy Genetic Algorithms NSGA-II Pavement Age Gain Model Yang, Chao Remenyte-Prescott, Rasa Andrews, John D. Pavement maintenance scheduling using genetic algorithms |
| title | Pavement maintenance scheduling using genetic algorithms |
| title_full | Pavement maintenance scheduling using genetic algorithms |
| title_fullStr | Pavement maintenance scheduling using genetic algorithms |
| title_full_unstemmed | Pavement maintenance scheduling using genetic algorithms |
| title_short | Pavement maintenance scheduling using genetic algorithms |
| title_sort | pavement maintenance scheduling using genetic algorithms |
| topic | Pavement Management System Maintenance and Rehabilitation Strategy Genetic Algorithms NSGA-II Pavement Age Gain Model |
| url | https://eprints.nottingham.ac.uk/35317/ https://eprints.nottingham.ac.uk/35317/ |