A Risk Assessment of Ships Groundings in Rivers: The Case of Parana River

Karahalios, Hristos

doi:10.1017/s0373463319000936

Cited by 8 publications

(2 citation statements)

References 47 publications

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“…To this end, a number of structured methods could be of help, including hazard identification methods such as HAZard IDentification (HAZID) (ISO, 2009b), HAzard and Operability (HAZOP) (ISO, 2009b), Functional Hazard Analysis (FHA) (SAE, 1996) and methods employing fuzzy ranking (Karahalios, 2020). These methods are well established and have for decades been used for the safety analysis of systems and operations in various industries (Thomas, 2013).…”

Section: Introductionmentioning

confidence: 99%

A method to identify and rank objects and hazardous interactions affecting autonomous ships navigation

2022

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The Autonomous Navigation System (ANS) constitutes a critical key enabling technology required for operating Maritime Autonomous Surface Ships (MASS). To assure the safety of MASS operations, the effective identification of potential objects and target ships interacting with the own MASS is quintessential. This study proposes a systematic method to identify the items interacting with the own MASS. This method is based on a similar approach previously employed for the encountering items’ identification in robotics, which is customised herein for the MASS needs. The developed method is applied to a short-sea shipping MASS. The environmental features, agents and objects related to her navigation are identified and ranked based on the frequency of encounter and the potential collision consequences. The results demonstrate the ability of the method to identify additional items in comparison to Automatic Identification System based data. The interactions with the small ships are considered as the most critical, due to their potential accidental consequences and their exhibited high frequency of encounter. This study results are employed to support the ANS design and testing of the investigated ship.

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Section: Introductionmentioning

confidence: 99%

A method to identify and rank objects and hazardous interactions affecting autonomous ships navigation

2022

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“…In the field of maritime traffic risk research, the commonly used analysis methods include fault tree [31,32], event tree [33,34], analytical hierarchy process method [35,36], and Bayesian analysis methods [37,38]. Among them, Bayesian analysis methods can effectively combine subjective and objective information and are widely used in ship Arctic navigation risk analysis.…”

Section: Introductionmentioning

confidence: 99%

Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network

Gao

et al. 2020

Sustainability

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Sustainable growth should not only be beneficial to the shipping industry in the future, but is also an urgent need to respond to resource and environmental crises and strengthen shipping governance. Maritime traffic in Arctic waters is prone to encounter dangerous ice conditions, and it is essential to study the mechanism of ice collision risk formation in relation to ice conditions. Taking the ship-ice collision risk in Arctic waters as the research object, we propose a dynamic assessment model of ship-ice collision risk under sea ice status dynamic association (SDA) effect. By constructing the standard paradigm of risk factor dynamic association (DA) effect, taking SDA as the key association factor. Combing with other risk factors that affect ship-ice collision accidents, the coupling relationship between risk factors were analyzed. Then, using the Bayesian network method to build a ship-ice collision accident dynamic risk assessment model and combing with the ice monitoring data in summer Arctic waters, we screen five ships’ position information on the trans-Arctic route in August. The risk behavior of ship-ice collision accidents on the selected route under SDA is analyzed by model simulation. The research reveal that the degree of SDA is a key related factor for the serious ice condition and the possibility of human error during ship’s navigation, which significantly affects the ship-ice collision risk. The traffic in Arctic waters requires extra vigilance of the SDA effect from no ice threat to ice threat, and continuous ice threat. According to the ship-ice collision risk analysis under the SDA effect and without SDA effect, the difference in risk reasoning results on the five stations of the selected route are 32.69%, −32.33%, −27.64%, −10.26%, and −30.13% respectively. The DA effect can optimize ship-ice collision risk inference problem in Arctic waters.

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Toward the optimization of fuel consumption on container-on-barge operations in river transportation

Solano,

Polo,

Castro

2023

Case Studies on Transport Policy

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A Risk Assessment of Ships Groundings in Rivers: The Case of Parana River

Cited by 8 publications

References 47 publications

A method to identify and rank objects and hazardous interactions affecting autonomous ships navigation

A method to identify and rank objects and hazardous interactions affecting autonomous ships navigation

Risk Reasoning from Factor Correlation of Maritime Traffic under Arctic Sea Ice Status Association with a Bayesian Belief Network

Toward the optimization of fuel consumption on container-on-barge operations in river transportation

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