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...

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Main Authors: Yang, Chao, Remenyte-Prescott, Rasa, Andrews, John
Format: Article
Published: Oxford University Press 2015
Subjects:
Online Access:https://eprints.nottingham.ac.uk/35265/
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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.
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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
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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/