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http://dx.doi.org/10.7837/kosomes.2018.24.5.519

Shipboard Fire Evacuation Route Prediction Algorithm Development  

Hwang, Kwang-Il (Division of Mechanical Engineering, Korea Maritime and Ocean University)
Cho, So-Hyung (Department of Mechanical and Industrial Engineering, Southern Illinois University Edwardsville)
Ko, Hoo-Sang (Department of Mechanical and Industrial Engineering, Southern Illinois University Edwardsville)
Cho, Ik-Soon (Department of Ship Operation, Korea Maritime and Ocean University)
Yun, Gwi-Ho (Department of Ship Operation, Korea Maritime and Ocean University)
Kim, Byeol (Graduate school of Korea Maritime and Ocean University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.24, no.5, 2018 , pp. 519-526 More about this Journal
Abstract
In this study, an algorithm to predict evacuation routes in support of shipboard lifesaving activities is presented. As the first step of algorithm development, the feasibility and necessity of an evacuation route prediction algorithm are shown numerically. The proposed algorithm can be explained in brief as follows. This system continuously obtains and analyzes passenger movement data from the ship's monitoring system during non-disaster conditions. In case of a disaster, evacuation route prediction information is derived using the previously acquired data and a prediction tool, with the results provided to rescuers to minimize casualties. In this study, evacuation-related data obtained through fire evacuation trials was filtered and analyzed using a statistical method. In a simulation using the conventional evacuation prediction tool, it was found that reliable prediction results were obtained only in the SN1 trial because of the conceptual and structural nature of the tool itself. In order to verify the validity of the algorithm proposed in this study, an industrial engineering tool was adapted for evacuation characteristics prediction. When the proposed algorithm was implemented, the predicted values for average evacuation time and route were very similar to the measured values with error ranges of 0.6-6.9 % and 0.6-3.6 %, respectively. In the future, development of a high-performance evacuation route prediction algorithm is planned based on shipboard data monitoring and analysis.
Keywords
Ship fire; Human safety; Monitoring analysis; Evacuation route prediction; Algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Hwang, K. I., I. S. Cho, G. H. Yun and B. Kim(2018), A Comparison of the Trainees' Evacuation Characteristics according to the Indoor Smoke-fullfill during the Safety Training on Ship (in Korean), Journal of the Korean Society of Marine Environment & Safety, Vol. 24, No. 4, pp. 422-429.   DOI
2 IMO(2016), Revised Guidelines on Evacuation Analysis For New And Existing Passenger Ships, MSC.1/Circ.1533.
3 Kelton, W. D., R. P. Sadowski and N. B. Zupick(2015), Simulation with Arena, McGraw-hill, 6th ed.
4 KMST(2018), Korea Maritime Safety Tribunal, Statistics for the marine accidents (in Korean), https://www.kmst.go.kr/kmst/statistics/annualReport/selectAnnualReportList.do (accessed May 11, 2018).
5 Nicholls, I., Y. Hifi, B. S. Lee, E. R. Galea, S. Deere, D. Blackshields and G. Sharp(2012), The SAFEGUARD Heel Scenario Evacuation Benchmark And Recommendations To IMO To Update MSC CIRC 1238, SAFEGUARD Passenger Evacuation Seminar, Nov. 30, London, UK, The Royal Institution of Naval Architects.
6 Rockwell Automation Inc.(2017), Arena ver 14.5, https://www.arenasimulation.com (accessed June 11, 2018).
7 Safety at Sea Ltd.(2013), Evi - Guidance for validating/verifying Evi to IMO MSC Circ.1033 Annex 3.
8 Hwang, K. I., I. S. Cho and Y. S. Lee(2016), A Study on Walking Characteristics of Novices at Onboard Environments under Blackout Conditions in a Training Ship (in Korean), Journal of the Korea Society of Marine Environment & Safety, Vol. 22, No. 1, pp. 74-81.   DOI
9 Hwang, K. I.(2011), Comparative Studies of Evacuation Time According to the Distribution Characteristics of Training Ship's Personnels (in Korean), Journal of Navigation and Port Research, Vol. 35, No. 3, pp. 213-218.   DOI
10 Hwang, K. I.(2015), Simulation Analysis on Passengers' Normal Evacuation Scenarios Considering the Changes of Heeling Angle during MV Sewol's Sinking (in Korean), Journal of the Korean Society of Marine Environment & Safety, Vol. 21, No. 1, pp. 47-56.   DOI