Towards supervisory risk control of autonomous ships

Utne, Ingrid Bouwer; Rokseth, Børge; Sørensen, Asgeir J.; Vinnem, Jan Erik

doi:10.1016/j.ress.2019.106757

Cited by 113 publications

(69 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The expert elicitation method proved its usefulness in assigning the magnitudes of influence of one causal factor category on another. This is in fact similar to the methods used for obtaining relationships in Bayesian Belief Networks [20,26] and fuzzy modelling [42]. Despite the fact that only experts known to have experience in autonomous shippingrelated research or operation were invited to the study, their answers varied significantly.…”

Section: Results and Their Significancementioning

confidence: 94%

See 1 more Smart Citation

On the Influence of Human Factors on Safety of Remotely-Controlled Merchant Vessels

2021

View full text Add to dashboard Cite

With numerous efforts undertaken by both industry and academia to develop and implement autonomous merchant vessels, their safety remains an utmost priority. One of the modes of their operation which is expected to be used is a remote control. Therein, some, if not all, decisions will be made remotely by human operators and executed locally by a vessel control system. This arrangement incorporates a possibility of a human factor occurrence. To this end, a variety of factors are known in the literature along with a complex network of mutual relationships between them. In order to study their potential influence on the safety of remotely-controlled merchant vessels, an expert study has been conducted using the Human Factors Analysis and Classification System-Maritime Accidents (HFACS–MA) framework. The results indicate that the most relevant for the safety of this prospective system is to ensure that known problems are properly and timely rectified and that remote operators maintain their psycho- and physiological conditions. The experts elicited have also assigned higher significance to the causal factors of active failures than latent failures, thus indicating a general belief that operators’ actions represent the final and the most important barrier against accident occurrence.

show abstract

Section: Results and Their Significancementioning

confidence: 94%

“…However, no matter how autonomous the system is, some chances for the emergence of human factors remain [3,18,19]. Humans would need to be involved in the operations of the autonomous system at various points ranging from design [15] through maintenance [8] and trouble-shooting [20][21][22][23][24].…”

Section: Doamentioning

confidence: 99%

On the Influence of Human Factors on Safety of Remotely-Controlled Merchant Vessels

2021

View full text Add to dashboard Cite

show abstract

“…To promote the further development of maritime autonomous technology, a potential risk study of autonomous vessels based on different factors should be developed, considering the influence of complex environments. Utne et al [17] proposed a framework for online risk modelling for autonomous vessels that includes systems theoretic process analysis (STPA) and Bayesian Belief Networks. The online risk model can provide decision support to the control systems of autonomous vessels.…”

Section: Literature Review 21 Autonomous Vessel Operation Risksmentioning

confidence: 99%

Autonomous Vessels in the Yangtze River: A Study on the Maritime Accidents Using Data-Driven Bayesian Networks

Zhao

Yuan

2021

Sustainability

View full text Add to dashboard Cite

The prototypes of autonomous vessels are expected to come into service within the coming years, but safety concerns remain due to complex traffic and natural conditions (e.g., Yangtze River). However, the response of autonomous vessels to potential accidents is still uncertain. The accident prevention for autonomous vessels is unconvincing due to the lack of objective studies on the causation analysis for maritime accidents. This paper constitutes an attempt to cover the aforementioned gap by studying the potential causations for maritime accidents in the Yangtze River by using a Bayesian-based network training approach. More than two hundred accidents reported between 2013 and 2019 in the Yangtze River are collected. As a result, a Bayesian network (BN) is successfully established to describe the causations among different risk influencing factors. By analysing the BN, this study reveals that the occurrence of maritime accidents (e.g., collision, grounding) can be expected to reduce with the development of autonomous vessels as the crews are removed. However, the extent of the consequences from some accidents (e.g., fire, critical weathers) could be more serious than conventional ones. Therefore, more attention and thoughts are needed to ensure the safe navigation of autonomous vessels in the Yangtze River.

show abstract

“…During offshore heavy lifting operations, the vessel needs to maintain its desired position via the so-called dynamic positioning (DP) system [1]. For a DP system to be effective, it is required to counteract the effect of external environmental forces such as wind and waves [2][3][4][5]. While attempting the positioning task, a DP system is subjected to a wide variety of uncertainty [6], such as the crane load [7].…”

Section: Introductionmentioning

confidence: 99%

Robustifying Dynamic Positioning of Crane Vessels for Heavy Lifting Operation

Roy

Godjevac³

et al. 2021

IEEE/CAA J. Autom. Sinica

View full text Add to dashboard Cite

Construction crane vessels make use of dynamic positioning (DP) systems during the installation and removal of offshore structures to maintain the vessel's position. Studies have reported cases of instability of DP systems during offshore operation caused by uncertainties, such as mooring forces. DP 'robustification' for heavy lift operations, i.e. handling such uncertainties systematically and with stability guarantees, is a long-standing challenge in DP design. A new DP method, composed by an observer and a controller, is proposed to address this challenge, with stability guarantees in the presence of uncertainties. We test the proposed method on an integrated cranevessel simulation environment, where the integration of several subsystems (winch dynamics, crane forces, thruster dynamics, fuel injection system etc.) allow a realistic validation under a wide set of uncertainties.

show abstract

Towards supervisory risk control of autonomous ships

Cited by 113 publications

References 32 publications

On the Influence of Human Factors on Safety of Remotely-Controlled Merchant Vessels

On the Influence of Human Factors on Safety of Remotely-Controlled Merchant Vessels

Autonomous Vessels in the Yangtze River: A Study on the Maritime Accidents Using Data-Driven Bayesian Networks

Robustifying Dynamic Positioning of Crane Vessels for Heavy Lifting Operation

Contact Info

Product

Resources

About