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Collection of evacuation data for large passenger vessels at sea

Collection of evacuation data for large passenger vessels at sea

Galea, Edwin, Brown, Robert, Filippidis, Lazaros and Deere, Steven (2011) Collection of evacuation data for large passenger vessels at sea. In: Peacock, Richard D., Kuligowski, Erica D. and Averill, Jason D., (eds.) Pedestrian and Evacuation Dynamics. Springer, New York / Dordrecht / Heidelberg / London, pp. 163-172. ISBN 978-1-4419-9724-1, (e-ISBN) 978-1-4419-9725-8 (doi:10.1007/978-1-4419-9725-8_15)

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Abstract

In the past decade, significant effort has gone into the planning and execution of full-scale sea trials in an attempt to improve, calibrate and validate existing evacuation models for passenger ships. In September, 2009 two assembly exercises were conducted at sea onboard the RO-PAX ferry SuperSpeed 1 by team members of the EU-funded project SAFEGUARD. The exercises were conducted with passengers during routine sailings between the ports of Kristiansand, Norway and Hirtshals, Denmark. Between both trials, a total of 1,769 passengers were assembled, on day one, 902 passengers and on day two 867 passengers. As part of the data collection exercise, passenger response time data was collected – using video cameras – and passenger movement data was collected using a novel infrared (IR) based position logging system. This paper briefly describes the development and testing of the data acquisition system and briefly discusses preliminary results.

Item Type: Book Section
Additional Information: This paper forms part of the proceedings of The Fifth International Conference on Pedestrian and Evacuation Dynamics (PED 2010), held 8-10 March 2010, at the National Institute of Standards and Technology in Gaithersburg, Maryland, USA.
Uncontrolled Keywords: ship evacuation, full-scale trial, validation data, infra-red tracking
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TH Building construction
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
Related URLs:
Last Modified: 14 Oct 2016 09:17
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/6804

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