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An experimental validation of an evacuation model using data sets generated from two large passenger ships

An experimental validation of an evacuation model using data sets generated from two large passenger ships

Galea, Edwin Richard, Deere, Steven, Brown, Robert and Filippidis, Lazaros (2013) An experimental validation of an evacuation model using data sets generated from two large passenger ships. Journal of Ship Research, 13 (3). pp. 155-170. ISSN 0022-4502 (Print), 1542-0604 (Online) (doi:10.5957/JOSR.57.3.120037)

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Abstract

Two evacuation model validation data-sets collected as part of the EU FP7 project SAFEGUARD are presented. The data was collected from a RO-PAX ferry operated by ColorLine (RP1) and a cruise ship operated by Royal Caribbean (CS). The trials were semi-unannounced assembly trials at sea and involved some 1349 and 2500 passengers respectively. The trials took place at an unspecified time however, passengers were aware that on their voyage an assembly exercise would take place. The validation data-sets consist of passenger; response times, starting locations, end locations and arrival times in the assembly stations. The validation data were collected using a novel data acquisition system consisting of ship-mounted beacons, each emitting unique Infra-Red (IR) signals and IR data logging tags worn by each passenger. The results from blind simulations using maritimeEXODUS for these assembly trials are presented and compared with the measured data. Three objective measures are proposed to assess the goodness of fit between the predicted model data and the measured data.

Item Type: Article
Additional Information: [1] CMS REF: 13/32.
Uncontrolled Keywords: experiment, ship evacuation, ship evacuation model, validation, assembly process, assembly time, evacuation data, evacuation model, validation methodology
Subjects: Q Science > QA Mathematics
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:23
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/9497

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