NDLI: Modeling panic in ship fire evacuation using dynamic Bayesian network

Content Provider	IEEE Xplore Digital Library
Author	Sarshar, P. Radianti, J. Gonzalez, J.J.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. & Commun. Technol., Univ. i Agder, Grimstad, Norway (Sarshar, P.; Radianti, J.; Gonzalez, J.J.)
Abstract	In this paper, we model passengers' panic during a ship fire by considering its most influential factors. The qualitative factors are quantified, allowing us to study passengers' panic in a probabilistic manner. Considering the time-varying nature of these factors, we update the state of the factors over time. We utilize a dynamic Bayesian network (DBN) to model passengers' panic, this allows us to represent probabilistic and dynamic elements. By defining several worst-case scenarios and running the simulations, we demonstrate how panic can dynamically vary from passenger to passenger with different physical (mental) conditions. Furthermore, we show how this panic can threaten passengers' health during the evacuation process. The impact of panic on the evacuation time is also investigated. The results in this paper are valuable inputs for rescue teams and marine organizations that aim to mitigate property damages and human fatalities.
Starting Page	301
Ending Page	307
File Size	274309
Page Count	7
File Format	PDF
e-ISBN	9781479900480
DOI	10.1109/INTECH.2013.6653668
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-29
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ship fire Panic Standards organizations Fires Organizations Evacuation time Bayes methods Mathematical model Dynamic Bayesian network (DBN) Marine vehicles
Content Type	Text
Resource Type	Article

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