The present and future of risk assessment of MASS: A literature review

Hoem, Åsa Snilstveit

doi:10.3850/978-981-11-2724-3_0657-cd

Cited by 7 publications

(3 citation statements)

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“…Here, the area of the waterplane of the ship is denoted as A WP , and the amount of flooding is denoted as ∇ F . Equation (1) can be rearranged as Equations ( 2)- (4).…”

Section: Mitigate the Consequence Of Flooding Accidentsmentioning

confidence: 99%

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A Concept Study on Design Alternatives for Minimizing Accident Consequences in Maritime Autonomous Surface Ships

Lee¹,

Lee²,

Choi³

et al. 2023

JMSE

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Autonomous ships, also known as maritime autonomous surface ships (MASS), are vessels that use artificial intelligence and robotics technologies to navigate independently. Due to their advanced technological capabilities, MASS is expected to play a significant role in the future of the shipping industry. The International Maritime Organization (IMO) is currently developing international standards for MASS classification, including accident avoidance technologies. However, the issue of how to mitigate the consequences of accidents involving autonomous ships has not been sufficiently addressed. Therefore, this study focuses on alternative design solutions and emergency response systems for MASS to properly control emergency situations and minimize the impact of accidents, such as flooding and fire on board. The goal is to efficiently address such accidents, especially in situations where the number of people on board is significantly reduced or the ship is being operated automatically or remotely, and to promptly detect and respond to such situations from a remote location. This paper investigates the possibility of modifying the design of the air conditioning system to delay flooding by considering a reduction in the number of crew members in order to prevent flooding. To prevent the spread of fire, the study examines early blockage measures for areas where air can enter. Flood and fire response systems were configured to be executed manually or automatically based on the results of presimulated scenarios defined in thousands of accident scenarios. Each accident propagation and response situation proposes an alternative using a coded shortcut key utilizing graphic symbols of international standard ISO 23120.

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“…Here, the area of the waterplane of the ship is denoted as A WP , and the amount of flooding is denoted as ∇ F . Equation (1) can be rearranged as Equations ( 2)- (4).…”

Section: Mitigate the Consequence Of Flooding Accidentsmentioning

confidence: 99%

“…Hoem, Å.S., et al, 2019 [4] Analysis on collision accidents and maritime autonomous surface ships Analyzed collision accidents involving MASS and identified factors that contributed to the accidents, such as malfunctioning sensors and lack of human intervention.…”

Section: Introduction 1previous Studymentioning

confidence: 99%

A Concept Study on Design Alternatives for Minimizing Accident Consequences in Maritime Autonomous Surface Ships

Lee¹,

Lee²,

Choi³

et al. 2023

JMSE

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“…Montewka et al [15] investigated risk-informed design, goal-based safety case approach, and STPA for the risk assessment of autonomous ships. Thieme et al [16] analyzed 64 risk models for ship collision and groundings to examine their applicability to autonomous ships, and Hoem [77] reviewed the Bayesian belief network (BBN), the human factors analysis and classification system (HFACS) framework, and STPA, and discussed the future of risk assessments of autonomous ships.…”

Section: Hazard Analysis For Massmentioning

confidence: 99%

A Study on Identification of Development Status of MASS Technologies and Directions of Improvement

Chae

Kim²,

Kim

2020

Applied Sciences

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The introduction of the maritime autonomous surface ship (MASS) to the maritime industry will open up a new era and bring about a new paradigm shift in terms of cost efficiency, maritime accidents, and human resources. Various studies are currently being conducted to realize the MASS. Understanding the scope and direction of these studies will be of great help for future MASS research. In this study, the current development status of technologies for autonomous ships is identified, and considerations and directions of improvement are suggested for six major research fields that cover all technological issues of MASS. Firstly, the results of the regulatory scoping exercise (RSE) on the International Maritime Organization (IMO) conventions to accept MASSs are identified; in particular, human elements are identified as vital issues to be considered for the design and operation of MASSs. Secondly, various studies on the decision-making system are identified, and the future direction is suggested. Thirdly, in terms of ship design and propulsion system, design changes for autonomous cargo ships are investigated, with their potential impacts to be considered. Fourthly, the communication system will need to be robust and supported by multiple systems to minimize potential risk with third-party infrastructures, and suitable protection of systems, networks, and data will be required as an integral part of the safety system for cybersecurity. Fifthly, issues of maintenance and repair are identified, with a maintenance strategy to be considered. Lastly, hazard analysis of the autonomous ship is explored, and system-theoretic process analysis (STPA) and the functional resonance analysis method (FRAM) are identified as the most representative new methods that can be used for hazard analysis of autonomous ships.

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A Hybrid Approach to Risk Analysis for Critical Failures of Machinery Spaces on Unmanned Ships by Fuzzy AHP

Bao

Bian

et al. 2021

Neural Computing for Advanced Applications

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The present and future of risk assessment of MASS: A literature review

Cited by 7 publications

References 0 publications

A Concept Study on Design Alternatives for Minimizing Accident Consequences in Maritime Autonomous Surface Ships

A Concept Study on Design Alternatives for Minimizing Accident Consequences in Maritime Autonomous Surface Ships

A Study on Identification of Development Status of MASS Technologies and Directions of Improvement

A Hybrid Approach to Risk Analysis for Critical Failures of Machinery Spaces on Unmanned Ships by Fuzzy AHP

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