NICTA evacuation planner: actionable evacuation plans with contraflows

dc.contributor.authorEven, C.
dc.contributor.authorPillac, V.
dc.contributor.authorVan Hentenryck, Pascal
dc.contributor.editorSchaub, T.
dc.contributor.editorFriedrich, G.
dc.contributor.editorO'Sullivan, B.
dc.coverage.spatialPrague, Czech Republic
dc.date.accessioned2015-03-25T01:54:44Z
dc.date.available2015-03-25T01:54:44Z
dc.date.createdAugust 18-22 2014
dc.date.issued2014
dc.date.updated2015-12-10T10:08:14Z
dc.description.abstractEvacuations are a critical aspect of disaster management, and generally the first prevention measure to ensure the safety of the population under threat. Designing evacuation plans is a complex task that requires to take into account multiple factors in order to limit congestion and ensure that all evacuees reach safety in time. This paper proposes a conflict-based path-generation algorithm for evacuation planning and a web-based intelligent system targeted at local authorities and emergency services. The key contribution of this paper is to propose the first scalable approach to produce actionable evacuation plans that simultaneously schedules the evacuation and selects contraflow roads. The benefits of the approach are illustrated on two large-scale case studies. The resulting optimization model is integrated in NICTA EVACUATION PLANNER, a tool to model, plan, and simulate evacuations.
dc.format6 pages
dc.identifier.isbn9781614994183
dc.identifier.issn0922-6389
dc.identifier.urihttp://hdl.handle.net/1885/13044
dc.publisherIOS Press
dc.relation.ispartofseries21st European Conference on Artificial Intelligence ECAI 2014
dc.rights© IOS Press
dc.sourceFrontiers in Artificial Intelligence and Applications
dc.source.urihttp://ebooks.iospress.nl/volumearticle/37047
dc.subjectArtificial intelligence
dc.subjectDisaster prevention
dc.subjectDisasters
dc.subjectEmergency services
dc.subjectOptimization
dc.subjectSocial networking
dc.subjectDisaster management
dc.subjectEvacuation planning
dc.subjectLocal authorities
dc.subjectOptimization modeling
dc.subjectPrevention measures
dc.subjectScalable approach
dc.subjectWeb-based intelligent system
dc.titleNICTA evacuation planner: actionable evacuation plans with contraflows
dc.typeJournal article
local.bibliographicCitation.lastpage1148en_AU
local.bibliographicCitation.startpage1143en_AU
local.contributor.affiliationVan Hentenryck, Pascal, Research School of Computer Science, College of Engineering and Computer Science, The Australian National Universityen_AU
local.contributor.authoruidu5136864en_AU
local.description.notesThis paper was presented at the 21st European Conference on Artificial Intelligence, ECAI 2014; Prague; Czech Republic; 18 August 2014 through 22 August 2014; Code 110850.en_AU
local.description.refereedYes
local.identifier.absfor080105 - Expert Systems
local.identifier.absseo890201 - Application Software Packages (excl. Computer Games)
local.identifier.ariespublicationa383154xPUB1150
local.identifier.citationvolume263en_AU
local.identifier.doi10.3233/978-1-61499-419-0-1143en_AU
local.identifier.scopusID2-s2.0-84923163006
local.identifier.thomsonID000349444700254
local.publisher.urlhttp://www.iospress.nl/en_AU
local.type.statusPublished versionen_AU

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