NICTA evacuation planner: actionable evacuation plans with contraflows
| dc.contributor.author | Even, C. | |
| dc.contributor.author | Pillac, V. | |
| dc.contributor.author | Van Hentenryck, Pascal | |
| dc.contributor.editor | Schaub, T. | |
| dc.contributor.editor | Friedrich, G. | |
| dc.contributor.editor | O'Sullivan, B. | |
| dc.coverage.spatial | Prague, Czech Republic | |
| dc.date.accessioned | 2015-03-25T01:54:44Z | |
| dc.date.available | 2015-03-25T01:54:44Z | |
| dc.date.created | August 18-22 2014 | |
| dc.date.issued | 2014 | |
| dc.date.updated | 2015-12-10T10:08:14Z | |
| dc.description.abstract | Evacuations 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.format | 6 pages | |
| dc.identifier.isbn | 9781614994183 | |
| dc.identifier.issn | 0922-6389 | |
| dc.identifier.uri | http://hdl.handle.net/1885/13044 | |
| dc.publisher | IOS Press | |
| dc.relation.ispartofseries | 21st European Conference on Artificial Intelligence ECAI 2014 | |
| dc.rights | © IOS Press | |
| dc.source | Frontiers in Artificial Intelligence and Applications | |
| dc.source.uri | http://ebooks.iospress.nl/volumearticle/37047 | |
| dc.subject | Artificial intelligence | |
| dc.subject | Disaster prevention | |
| dc.subject | Disasters | |
| dc.subject | Emergency services | |
| dc.subject | Optimization | |
| dc.subject | Social networking | |
| dc.subject | Disaster management | |
| dc.subject | Evacuation planning | |
| dc.subject | Local authorities | |
| dc.subject | Optimization modeling | |
| dc.subject | Prevention measures | |
| dc.subject | Scalable approach | |
| dc.subject | Web-based intelligent system | |
| dc.title | NICTA evacuation planner: actionable evacuation plans with contraflows | |
| dc.type | Journal article | |
| local.bibliographicCitation.lastpage | 1148 | en_AU |
| local.bibliographicCitation.startpage | 1143 | en_AU |
| local.contributor.affiliation | Van Hentenryck, Pascal, Research School of Computer Science, College of Engineering and Computer Science, The Australian National University | en_AU |
| local.contributor.authoruid | u5136864 | en_AU |
| local.description.notes | This 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.refereed | Yes | |
| local.identifier.absfor | 080105 - Expert Systems | |
| local.identifier.absseo | 890201 - Application Software Packages (excl. Computer Games) | |
| local.identifier.ariespublication | a383154xPUB1150 | |
| local.identifier.citationvolume | 263 | en_AU |
| local.identifier.doi | 10.3233/978-1-61499-419-0-1143 | en_AU |
| local.identifier.scopusID | 2-s2.0-84923163006 | |
| local.identifier.thomsonID | 000349444700254 | |
| local.publisher.url | http://www.iospress.nl/ | en_AU |
| local.type.status | Published version | en_AU |
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