Road maintenance planning using network flow modelling
This paper presents a road maintenance planning model that can be used to balance out maintenance cost and road user cost, since performing road maintenance at night can be convenient for road users but costly for highway agency. Based on the platform of the network traffic flow modelling, the traff...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Oxford University Press
2015
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/35265/ |
| _version_ | 1848795039368478720 |
|---|---|
| author | Yang, Chao Remenyte-Prescott, Rasa Andrews, John |
| author_facet | Yang, Chao Remenyte-Prescott, Rasa Andrews, John |
| author_sort | Yang, Chao |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | This paper presents a road maintenance planning model that can be used to balance out maintenance cost and road user cost, since performing road maintenance at night can be convenient for road users but costly for highway agency. Based on the platform of the network traffic flow modelling, the traffic through the worksite and its adjacent road links is evaluated. Thus, maintenance arrangements at a worksite can be optimized considering the overall network performance. In addition, genetic algorithms are used for maintenance planning in order to find the best maintenance arrangements for the worksites. The key variables in the optimization model involve the starting time of maintenance works during the day, their duration, the duration of the break during the maintenance work and traffic signal controls at the worksite. |
| first_indexed | 2025-11-14T19:25:45Z |
| format | Article |
| id | nottingham-35265 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:25:45Z |
| publishDate | 2015 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-352652020-05-04T17:23:35Z https://eprints.nottingham.ac.uk/35265/ Road maintenance planning using network flow modelling Yang, Chao Remenyte-Prescott, Rasa Andrews, John This paper presents a road maintenance planning model that can be used to balance out maintenance cost and road user cost, since performing road maintenance at night can be convenient for road users but costly for highway agency. Based on the platform of the network traffic flow modelling, the traffic through the worksite and its adjacent road links is evaluated. Thus, maintenance arrangements at a worksite can be optimized considering the overall network performance. In addition, genetic algorithms are used for maintenance planning in order to find the best maintenance arrangements for the worksites. The key variables in the optimization model involve the starting time of maintenance works during the day, their duration, the duration of the break during the maintenance work and traffic signal controls at the worksite. Oxford University Press 2015-11-13 Article PeerReviewed Yang, Chao, Remenyte-Prescott, Rasa and Andrews, John (2015) Road maintenance planning using network flow modelling. IMA Journal of Management Mathematics . ISSN 1471-6798 maintenance planning; network flow modelling; genetic algorithms http://imaman.oxfordjournals.org/content/early/2015/11/12/imaman.dpv031 doi:10.1093/imaman/dpv031 doi:10.1093/imaman/dpv031 |
| spellingShingle | maintenance planning; network flow modelling; genetic algorithms Yang, Chao Remenyte-Prescott, Rasa Andrews, John Road maintenance planning using network flow modelling |
| title | Road maintenance planning using network flow modelling |
| title_full | Road maintenance planning using network flow modelling |
| title_fullStr | Road maintenance planning using network flow modelling |
| title_full_unstemmed | Road maintenance planning using network flow modelling |
| title_short | Road maintenance planning using network flow modelling |
| title_sort | road maintenance planning using network flow modelling |
| topic | maintenance planning; network flow modelling; genetic algorithms |
| url | https://eprints.nottingham.ac.uk/35265/ https://eprints.nottingham.ac.uk/35265/ https://eprints.nottingham.ac.uk/35265/ |