Show simple item record

dc.contributor.authorLi, M
dc.contributor.authorZhen, L
dc.contributor.authorWang, S
dc.contributor.authorLv, W
dc.contributor.authorQu, X
dc.date.accessioned2019-06-11T04:27:12Z
dc.date.available2019-06-11T04:27:12Z
dc.date.issued2018
dc.identifier.issn0360-8352
dc.identifier.doi10.1016/j.cie.2018.05.039
dc.identifier.urihttp://hdl.handle.net/10072/385348
dc.description.abstractFor more accurate multiple-period real-time monitoring of road traffic, this paper investigates the unmanned aerial vehicle scheduling problem with uncertain demands. A mixed integer programming model is designed for this problem by combining the capacitated arc routing problem with the inventory routing problem. A local branching based solution method is developed to solve the model. A case study which applies this model to the road traffic in Shanghai is performed. In addition, numerical experiments are conducted to validate the effectiveness of the proposed model and the efficiency of the proposed solution method.
dc.description.peerreviewedYes
dc.publisherElsevier
dc.relation.ispartofpagefrom15
dc.relation.ispartofpageto23
dc.relation.ispartofjournalComputers and Industrial Engineering
dc.relation.ispartofvolume122
dc.subject.fieldofresearchInformation and Computing Sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchMathematical Sciences
dc.subject.fieldofresearchcode08
dc.subject.fieldofresearchcode09
dc.subject.fieldofresearchcode01
dc.titleUnmanned aerial vehicle scheduling problem for traffic monitoring
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorQu, Xiaobo


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record