Towards the Development of a Risk Model for Unmanned Vessels Design and Operations

Wróbel, Krzysztof; Krata, P.; Montewka, Jakub; Hinz, Tomasz

doi:10.12716/1001.10.02.09

Cited by 36 publications

(25 citation statements)

References 9 publications

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“…Some of these are relatively new, e.g. USV-dedicated risk analysis [43,44], human factors in the remote control of maritime autonomous surface ships (MASSs) or unmanned surface vehicles (USV) [23]. There are also a number of issues that are not completely novel but which have been redefined in the context of MASS/USV, such as optimising collision avoidance manoeuvres [28,31] in compliance with International Regulations for Preventing Collisions at Sea (COLREGS) [2,5,7,24,27], which is the topic of the this paper.…”

Section: Introductionmentioning

confidence: 99%

Framework of an Evolutionary Multi-Objective Optimisation Method for Planning a Safe Trajectory for a Marine Autonomous Surface Ship

Szlapczynski

Ghaemi

2019

Polish Maritime Research

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This paper represents the first stage of research into a multi-objective method of planning safe trajectories for marine autonomous surface ships (MASSs) involved in encounter situations. Our method applies an evolutionary multi-objective optimisation (EMO) approach to pursue three objectives: minimisation of the risk of collision, minimisation of fuel consumption due to collision avoidance manoeuvres, and minimisation of the extra time spent on collision avoidance manoeuvres. Until now, a fully multi-objective optimisation has not been applied to the real-time problem of planning safe trajectories; instead, this optimisation problem has usually been reduced to a single aggregated cost function covering all objectives. The aim is to develop a method of planning safe trajectories for MASSs that is able to simultaneously pursue the three abovementioned objectives, make decisions in real time and without interaction with a human operator, handle basic types of encounters (in open or restricted waters, and in good or restricted visibility) and guarantee compliance with the International Regulations for Preventing Collisions at Sea. It should also be mentioned that optimisation of the system based on each criterion may occur at the cost of the others, so a reasonable balance is applied here by means of a configurable trade-off. This is done throughout the EMO process by means of modified Pareto dominance rules and by using a multi-criteria decision-making phase to filter the output Pareto set and choose the final solution

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Section: Introductionmentioning

confidence: 99%

Framework of an Evolutionary Multi-Objective Optimisation Method for Planning a Safe Trajectory for a Marine Autonomous Surface Ship

Szlapczynski

Ghaemi

2019

Polish Maritime Research

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“…Wróbel et al. (2016) conducted a hazard analysis associated with unmanned ships and listed the potential safety threats covering various aspects based on experts' opinions. Rødseth and Burmeister (2015) introduced a risk‐based design method to identify critical safety and security risks and proposed corresponding solutions to address them.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous vessels: state of the art and potential opportunities in logistics

Góez

Guajardo

et al. 2020

Int Trans Operational Res

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The growth in technology on autonomous transportation systems is currently motivating a number of research initiatives. This paper first presents a survey of the literature on autonomous marine vessels in general. By identifying the main research interests in this field, we define 10 thematic categories. The collected articles are then classified according to these categories. We show that research on autonomous vessels has increased dramatically in the past decade. However, most of the published articles have focused on navigation control and safety issues. Studies regarding other topics, such as transport and logistics, are very limited. Although our main interest is the literature on autonomous vessels, we contrast its development with respect to the literature on autonomous cars so as to have a better understanding about the future potentials in the research on autonomous vessels. The comparison shows that there are great opportunities for research about transportation and logistics with autonomous vessels. Finally, several potential research areas regarding logistics with autonomous vessels are proposed. As the technology behind remote‐controlled or autonomous ships is maturing rapidly, we believe that it is already time for researchers in the field to start looking into future water‐borne transport and logistics using autonomous vessels.

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“…MUNIN adopted a risk-based design approach to develop technical and operational concepts, and used scenario analysis to identify risks and simplify the scope of operations, using system hazard identification to identify critical security risks and how to address them [11]. Wróbel et al [12] developed a list of potential hazards associated with unmanned ships. According to the high uncertainty of the potential risk model, the Bayesian network model structure was given.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Tonnage [31,[35][36][37] Ship/vessel age [20,30,31,33,35,37] Ship type [20,31,38] Ship size [19,39] Ship equipment, radar and other equipment configurations [18,20,26,27,29,33,40] Maintenance issues [41] Structural strength [12,19,25,29,30,39,42 [19,30,33] Management factor…”

Section: Static Informationmentioning

confidence: 99%

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Safety Risk Analysis of Unmanned Ships in Inland Rivers Based on a Fuzzy Bayesian Network

Zhang

Yang

et al. 2019

Journal of Advanced Transportation

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Risk factor identification is the basis for risk assessment. To quantify the safety risks of unmanned vessels in inland rivers, through analysis of previous studies, the safety risk impact factor framework of unmanned vessels in inland rivers is established based on three aspects: the ship aspect, the environmental aspect, and the management and control aspect. Relying on Yangtze River, a fuzzy Bayesian network of the sailing safety risk of unmanned ships in inland rivers is constructed. The proposed safety risk model has considered different operational and environmental factors that affect shipping operations. Based on the fuzzy set theory, historical data, and expert judgments and on previous works are used to estimate the base value (prior values) of various risk factors. The case study assessed the safety risk probabilities of unmanned vessels in Yangtze River. By running uncertainty and sensitivity analyses of the model, a significant change in the likelihood of the occurrence of safety risk is identified, and suggests a dominant factor in risk causation. The research results can provide effective information for analyzing the current safety status for navigation systems of unmanned ships in inland rivers. The estimated safety risk provides early warning to take appropriate preventive and mitigative measures to enhance the overall safety of shipping operations.

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Towards the Development of a Risk Model for Unmanned Vessels Design and Operations

Cited by 36 publications

References 9 publications

Framework of an Evolutionary Multi-Objective Optimisation Method for Planning a Safe Trajectory for a Marine Autonomous Surface Ship

Framework of an Evolutionary Multi-Objective Optimisation Method for Planning a Safe Trajectory for a Marine Autonomous Surface Ship

Autonomous vessels: state of the art and potential opportunities in logistics

Safety Risk Analysis of Unmanned Ships in Inland Rivers Based on a Fuzzy Bayesian Network

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