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Yang, Chao, Remenyte-Prescott, Rasa and Andrews, John (2015) Road maintenance planning using network flow modelling. IMA Journal of Management Mathematics . ISSN 1471-6798

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Abstract

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.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/767023
Additional Information:	This is a pre-copyedited, author-produced PDF of an article accepted for publication in IMA Journal of Management Mathematics following peer review. The version of record Chao Yang, Rasa Remenyte-Prescott, and John Andrews Road maintenance planning using network flow modelling IMA J Management Math 2015 : dpv031v1-dpv031 is available online at: http://imaman.oxfordjournals.org/content/early/2015/11/12/imaman.dpv031
Keywords:	maintenance planning; network flow modelling; genetic algorithms
Schools/Departments:	University of Nottingham, UK > Faculty of Engineering
Identification Number:	https://doi.org/10.1093/imaman/dpv031
Depositing User:	Eprints, Support
Date Deposited:	21 Jul 2016 13:51
Last Modified:	04 May 2020 17:23
URI:	https://eprints.nottingham.ac.uk/id/eprint/35265

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