dc.contributor.author |
Zarboutis, N |
en |
dc.contributor.author |
Marmaras, N |
en |
dc.date.accessioned |
2014-03-01T01:53:30Z |
|
dc.date.available |
2014-03-01T01:53:30Z |
|
dc.date.issued |
2004 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/27052 |
|
dc.subject |
Agent Based Simulation |
en |
dc.subject |
Complex Adaptive System |
en |
dc.subject |
Modelling and Simulation |
en |
dc.title |
Searching efficient plans for emergency rescue through simulation: the case of a metro fire |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1007/s10111-004-0150-6 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1007/s10111-004-0150-6 |
en |
heal.publicationDate |
2004 |
en |
heal.abstract |
In this paper we present the way we modelled and simulated a metro system in the case of a tunnel fire, and discuss the ways this simulation may support the search for efficient rescue plans. The metro system was modelled as a complex adaptive system, comprising four interacting and co-evolving subsystems: (i) the fire and the released smoke, (ii) the |
en |
heal.journalName |
Cognition, Technology & Work |
en |
dc.identifier.doi |
10.1007/s10111-004-0150-6 |
en |