New frontiers in the risk assessment of ship collision

Marino, Massimiliano; Cavallaro, Luca; Castro, Elisa; Musumeci, Rosaria Ester; Martignoni, Matteo; Roman, Federico; Foti, Enrico

doi:10.1016/j.oceaneng.2023.113999

Cited by 16 publications

(4 citation statements)

References 106 publications

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“…Understanding ship accidents causes and consequences is the first necessary step to improve accident mitigation strategies [ 1 ]. This can help to identify patterns and trends in accidents, which can be used to inform prevention measures and response plans.…”

Section: Objectivementioning

confidence: 99%

Analysis on a database of ship accidents in port areas

et al. 2023

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Section: Objectivementioning

confidence: 99%

Analysis on a database of ship accidents in port areas

et al. 2023

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“…An automatic identification system (AIS) is an automatic tracking system that identifies and locates ships by exchanging data with other nearby ships and AIS base stations [1] . Therefore, it is an important research direction to use AIS equipment to provide information data for safe navigation of ships.…”

Section: Introductionmentioning

confidence: 99%

Research on an improved ship trajectory clustering method

Jiang,

Yan

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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Aiming at the problem that the trajectory direction cannot be distinguished from the historical data of ship Automatic Identification System (AIS) in the traditional clustering process, a DBSCAN clustering method based on the combination of improved Euclidean distance and cosine similarity is proposed. To measure the differences between arbitrary trajectory clusters in different directions, the improved DP algorithm is used to quickly and accurately extract the ship trajectory feature points, and maintain a high similarity with the original trajectory. The historical AIS data of the waterway near Port area of Zhoushan was selected to analyze and verify the algorithm. The results show that the proposed method can achieve the expected clustering effect, and the results are consistent with the actual situation, which has certain reference value in channel planning, navigation forecast, ship dynamic monitoring and other aspects.

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“…For example, ship collisions are the most common type of accident in ports, with an increased expected trend (Ozturk & Cicek, 2019). Risk analysis of maritime transport is receiving increasing attention to identify mitigation strategies (Marino et al, 2023). The statistical analysis shows that more than 80% of maritime accidents occur in the proximity of ports and are due to human errors (Sánchez-Beaskoetxea et al, 2021) and external causes, such as complex navigation environment, equipment failures and adverse weather conditions (Yu et al, 2021) that can generate problems related to the manoeuvrability of the ships (Zhou et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Wind and Wave Trained Artificial Neural Networks for the Forecasting of Wave Climate in Harbour Area

Cavallaro,

Iuppa,

Castro

et al. 2023

Int. Conf. Coastal. Eng.

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Nowadays, maritime transportation has expanded rapidly, involving the need to enhance several navigation-related issues, particularly concerning the safety of navigation, which is significantly impacted by weather conditions. In this regard, creating a wave forecasting system could facilitate vessel movement at the harbour entrance or inside the sheltered area. Wave characteristics are usually estimated using numerical models, which generally require high computational costs, making them inadequate for nowcasting and forecasting wave climate. The current study describes the implementation of a forecasting methodology for the port area of Augusta (Sicily) based on an Artificial Neural Network (ANN) that attempts to deliver a trustworthy response and the numerical model but with a significant reduction in the computational time.

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New frontiers in the risk assessment of ship collision

Cited by 16 publications

References 106 publications

Analysis on a database of ship accidents in port areas

Analysis on a database of ship accidents in port areas

Research on an improved ship trajectory clustering method

Wind and Wave Trained Artificial Neural Networks for the Forecasting of Wave Climate in Harbour Area

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