Training on Lsa Lifeboat Operation Using Augmented Reality

Bolierakis, Spyridon Nektarios; Kostovasili, Margarita; Karagiannidis, Lazaros; Amditis, Angelos

doi:10.2139/ssrn.4264756

Cited by 2 publications

(2 citation statements)

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“…In such cases meeting regulatory time limits becomes challenging, and the psychological impact on passengers, including heightened anxiety and panic, further complicates the orderly execution of evacuation procedures. Addressing these limitations necessitates exploring alternative evacuation methods, improving technology, and enhancing training to ensure the safety and efficiency of evacuation in adverse weather scenarios [26].…”

Section: Areas Of Improvementmentioning

confidence: 99%

Alternative Evacuation Procedures and Smart Devices’ Impact Assessment for Large Passenger Vessels under Severe Weather Conditions

Stefanou,

Louvros,

Stefanidis

et al. 2024

Sci

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Within the expansive domain of maritime safety, optimizing evacuation procedures stands as a critical endeavour. After all, evacuation is literally the last and fundamental safety level afforded to mariners and passengers. Recent incidents have rekindled interest in assessing the performance of this ultimate safety barrier. However, addressing evacuability requires a holistic approach. The authors present herein the setup, simulation, and ultimately evaluation of a novel approach and its ability to rigorously assess multiple innovative risk-control options in a challenging, realistic setting. Moreover, its benchmarking against conventional regulation-dictated evacuation processes is captured distinctively along with the relative effectiveness of each proposed measure. Such measures include smart technologies and procedural changes that can result in substantial improvements to the current procedures. These will impact the ongoing discourse on maritime safety by providing insights for policymakers, vessel operators, emergency planners, etc., and emphasize the need for further research and development efforts to fortify the industry against evolving safety challenges.

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Section: Areas Of Improvementmentioning

confidence: 99%

Alternative Evacuation Procedures and Smart Devices’ Impact Assessment for Large Passenger Vessels under Severe Weather Conditions

Stefanou,

Louvros,

Stefanidis

et al. 2024

Sci

View full text Add to dashboard Cite

show abstract

“…Along the same lines, the EU-funded project SafePASS [28,29] strives to revolutionize the process of evacuation on large passenger ships. While the project's many partners developed various technological solutions such as dynamic routing, augmented reality [30], smart lifejackets and wristbands [31], programmable exit signs and others [32], a critical piece of information is needed. Knowledge of the risk level of the current situation and, more importantly, the future end state, is crucial in determining whether to initiate an evacuation or not [33].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning and Case-Based Reasoning for Real-Time Onboard Prediction of the Survivability of Ships

Louvros,Panagiotis

Stefanidis

Boulougouris

et al. 2023

JMSE

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The subject of damaged stability has greatly profited from the development of new tools and techniques in recent history. Specifically, the increased computational power and the probabilistic approach have transformed the subject, increasing accuracy and fidelity, hence allowing for a universal application and the inclusion of the most probable scenarios. Currently, all ships are evaluated for their stability and are expected to survive the dangers they will most likely face. However, further advancements in simulations have made it possible to further increase the fidelity and accuracy of simulated casualties. Multiple time domain and, to a lesser extent, Computational Fluid dynamins (CFD) solutions have been suggested as the next “evolutionary” step for damage stability. However, while those techniques are demonstrably more accurate, the computational power to utilize them for the task of probabilistic evaluation is not there yet. In this paper, the authors present a novel approach that aims to serve as a stopgap measure for introducing the time domain simulations in the existing framework. Specifically, the methodology presented serves the purpose of a fast decision support tool which is able to provide information regarding the ongoing casualty utilizing prior knowledge gained from simulations. This work was needed and developed for the purposes of the EU-funded project SafePASS.

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Training on Lsa Lifeboat Operation Using Augmented Reality

Cited by 2 publications

References 0 publications

Alternative Evacuation Procedures and Smart Devices’ Impact Assessment for Large Passenger Vessels under Severe Weather Conditions

Alternative Evacuation Procedures and Smart Devices’ Impact Assessment for Large Passenger Vessels under Severe Weather Conditions

Machine Learning and Case-Based Reasoning for Real-Time Onboard Prediction of the Survivability of Ships

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