Risk Modelling for Passages in Approach Channel

Smolarek, L.; Śniegocki, H.

doi:10.1155/2013/597243

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…and Sniegocki, 2013), flow of marine vessel traffic (Blokus-Roszkowska and Smolarek, 2014) and the most important factor, which is largely the cause of majority of accidentsthe human factor (Smolarek and Soliwoda, 2008). The aim of this paper is to assess the predictable positioning accuracy given by the DGPS and EGNOS systems described above during maritime dynamic measurements in the Bay of Gdansk.…”

Section: Introduction the Global Positioning System (Gps) Alongsidementioning

confidence: 99%

“…These are complex organisational structures which, apart from positioning or transmission of navigation information, employ a comprehensive approach to safety of sea basins close to the shore. Hence, their main aims include analysis of navigation risk of ship collisions during approach to ports (Guze et al, 2016) and port canals (Smolarek and Sniegocki, 2013), flow of marine vessel traffic (Blokus-Roszkowska and Smolarek, 2014) and the most important factor, which is largely the cause of majority of accidents – the human factor (Smolarek and Soliwoda, 2008).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Positioning Accuracy of DGPS and EGNOS Systems in the Bay of Gdansk using Maritime Dynamic Measurements

et al. 2018

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Differential Global Positioning Systems (DGPS) and the European Geostationary Navigation Overlay Service (EGNOS) are included in a group of supporting systems (Ground-Based Augmentation System (GBAS)/Space-Based Augmentation System (SBAS)) for the American GPS. Their main task is to ensure better positioning characteristics (accuracy, reliability, continuity and availability) compared to GPS. Therefore, they are widely applied wherever GPS failures affect human safety, mainly in aviation, land and marine navigation. The aim of this paper is to assess the predictable positioning accuracy of DGPS and EGNOS receivers using a vessel manoeuvring in the Bay of Gdansk. Two receivers were used in the study: a Simrad MXB5 (DGPS) and a Trimble GA530 (EGNOS), which were simultaneously recording their coordinates. The obtained values were compared with the trajectory computed using a geodetic Global Navigation Satellite System (GNSS) receiver (Trimble R10) connected to a GNSS network, ensuring an accuracy of 2–3 cm (p = 0·95). During a four-hour measurement session, the accuracy statistics of these systems were determined based on around 11,500 positionings. Studies have shown that both positioning systems ensure a similar level of accuracy of their positioning services (approximately 0·5–2 m) and they meet the accuracy requirements set in published standards.

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Section: Introduction the Global Positioning System (Gps) Alongsidementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the Positioning Accuracy of DGPS and EGNOS Systems in the Bay of Gdansk using Maritime Dynamic Measurements

et al. 2018

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“…Determine the collision risk of maritime traffic in a sea area[103] Risk can be defined as the probability of occurrence of an unwanted event multiplied by the consequences of that same event. (p. Examine the feasibility of data-based generalized linear modeling technique to risk analysis of navigation[104] Not defined2013 N/A R $ (P x , A) I Y N N N N M50Propose a method to quantify uncertainty related to traffic data in maritime risk assessment[105] Not defined 2013 N/A R $ (P f n , A, C n 9 U QU ) III Y Y N N N M51 Determine the accident risk of maritime transportation in an inland waterway[106] A risk is composed of two elements: an event or accident occurrence probability and its impact, also known as the consequence severity. (p 96).…”

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confidence: 99%

Maritime transportation risk analysis: Review and analysis in light of some foundational issues

Goerlandt

Montewka

2015

Reliability Engineering & System Safety

267

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a b s t r a c tMany methods and applications for maritime transportation risk analysis have been presented in the literature. In parallel, there is a recent focus on foundational issues in risk analysis, with calls for intensified research on fundamental concepts and principles underlying the scientific field. This paper presents a review and analysis of risk definitions, perspectives and scientific approaches to risk analysis found in the maritime transportation application area, focusing on applications addressing accidental risk of shipping in a sea area. For this purpose, a classification of risk definitions, an overview of elements in risk perspectives and a classification of approaches to risk analysis science are applied. Results reveal that in the application area, risk is strongly tied to probability, both in definitions and perspectives, while alternative views exist. A diffuse situation is also found concerning the scientific approach to risk analysis, with realist, proceduralist and constructivist foundations co-existing. Realist approaches dominate the application area. Very few applications systematically account for uncertainty, neither concerning the evidence base nor in relation to the limitations of the risk model in relation to the space of possible outcomes. Some suggestions are made to improve the current situation, aiming to strengthen the scientific basis for risk analysis.

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“…A matrix of transient probabilities for the process of navigational safety change is generated based on the matrix of transient probabilities for the process of navigational safety change: (1) where , in addition A complete mathematical description of this process involves specifying the initial probabilities p 1 (0), p 2 (0), p 3 (0), p 4 (0), p 5 (0), p 6 (0), that is, the probabilities of the navigation safety state at time t = 0, which satisfy the condition:…”

Section: A Markov Process Model Of the Variation Of Navigational Safe...mentioning

confidence: 99%

Navigational safety assessment based on Markov-Model approach

Melnyk

Onyshchenko

2022

Pomorstvo (Online)

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Safety analysis of complex technical systems currently operating in the transport sector is an urgent challenge for the global maritime industry, which suffers from a lack of information about the levels of risk and the consequences of their incorrect assessment. Among the requirements for vessel management and operations the importance of having a highly professional crew and up-to-date navigational equipment. Navigational safety is one of the components of the integral concept of “safety” for a seagoing ship. Assessment of integral safety is based on assessments of the individual safety components. In this study, the focus is on “navigational safety”, which is primarily understood as ensuring safe operation of a vessel in specific navigation conditions, ensuring safe control and maneuvering of the vessel, ship position monitoring, heading control, sufficient depth margin under the keel along the route, taking into account its actual draft and subsidence in shallow water, and sea disturbance. In the offered research on the basis of the identified states of navigational safety, the graphic model of process and matrix of transition probabilities in the general form with use of homogeneous Markov model of change of navigational safety of a vessel, with discrete time and presence of absorbing state is formed. The proposed Markov process model can be used to assess vessel navigational safety when establishing possible states of navigational safety with significant probability to assess ship safety and make decisions to ensure safe vessel operation.

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Risk Modelling for Passages in Approach Channel

Cited by 5 publications

References 12 publications

Assessment of the Positioning Accuracy of DGPS and EGNOS Systems in the Bay of Gdansk using Maritime Dynamic Measurements

Assessment of the Positioning Accuracy of DGPS and EGNOS Systems in the Bay of Gdansk using Maritime Dynamic Measurements

Maritime transportation risk analysis: Review and analysis in light of some foundational issues

Navigational safety assessment based on Markov-Model approach

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