Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response

Inazu, Daisuke; Ikeya, Tsuyoshi; Iseki, Toshio; Waseda, Takuji

doi:10.1186/s40623-020-01165-7

Cited by 4 publications

(2 citation statements)

References 65 publications

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“…To estimate SSH perturbations from this raw data, a mean sea surface height model is applied and removed from the time series, followed by band-pass fi ltering to remove the ocean wave fi eld (Foster et al, 2012, Foster et al, 2024. Tested both in coastal areas and in the deep ocean, this technique has shown the ability to detect ~10 cm tsunami amplitudes (Foster et al, 2009;Inazu et al, 2016) and ~10 cm.s -1 accuracy of tsunami currents (Inazu et al, 2020). Using offshore observations is a powerful tool to improve fi eld tsunami forecasting because they provide a snapshot of the open-ocean SSH and enable direct tsunami detection rather than inferring them through modeling the tsunami source (Mulia et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Greetings from HYDRO 2023 Organizing Committee

Monaca

2024

IHR

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Section: Introductionmentioning

confidence: 99%

Greetings from HYDRO 2023 Organizing Committee

Monaca

2024

IHR

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“…Then, the rudder angle was estimated using the optimal values of the K and T indices and from the AIS data. Inazu et al (2020) described the ship velocity obtained from AIS data into two components according to the ship heading: headingnormal and heading-parallel directions. The surge velocity and sway velocity were calculated using AIS data.…”

Section: Introductionmentioning

confidence: 99%

Estimating Hydrodynamic Coefficients of Real Ships Using AIS Data and Support Vector Regression

Vu,

Park,

Yoon

2023

J. Ocean Eng. Technol.

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In response to the complexity and time demands of conventional methods for estimating the hydrodynamic coefficients, this study aims to revolutionize ship maneuvering analysis by utilizing automatic identification system (AIS) data and the Support Vector Regression (SVR) algorithm. The AIS data were collected and processed to remove outliers and impute missing values. The rate of turn (ROT), speed over ground (SOG), course over ground (COG) and heading (HDG) in AIS data were used to calculate the rudder angle and ship velocity components, which were then used as training data for a regression model. The accuracy and efficiency of the algorithm were validated by comparing SVR-based estimated hydrodynamic coefficients and the original hydrodynamic coefficients of the Mariner class vessel. The validated SVR algorithm was then applied to estimate the hydrodynamic coefficients for real ships using AIS data. The turning circle test wassimulated from calculated hydrodynamic coefficients and compared with the AIS data. The research results demonstrate the effectiveness of the SVR model in accurately estimating the hydrodynamic coefficients from the AIS data. In conclusion, this study proposes the viability of employing SVR model and AIS data for accurately estimating the hydrodynamic coefficients. It offers a practical approach to ship maneuvering prediction and control in the maritime industry.

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The Effect of Port Growth on the Safety Index in Madura Strait

Hardhita,

Asmara,

Widiarti

2024

IOP Conf. Ser.: Earth Environ. Sci.

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This research examines ship safety level in port development through environmental stress method, which involves assessing the safety level in current conditions and simulating the addition of new ports to enhance shipping efficiency. This method evaluates safety levels based on each ship’s COG degree and identifies obstacle characteristics. Analysis results are visualized using the perception safety index matrix. These findings determine the permissible speed tolerance for ships navigating the Madura Strait under current and planned conditions. As per sample, simulation will be using MV PIS Mahakam for this research. The simulation indicates that safety index in the existing condition or scenario X is at a Marginal level, with the highest value being 749. Furthermore, in planned scenario with addition of 2 new ports and combination of 2 ports which called scenario A, B, and C, safety index values are 749 thus all considered marginal. The maximum speed tolerance under planned conditions ranges from 1.5 – 1.6 knots for a 114m ship.

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Extracting clearer tsunami currents from shipborne Automatic Identification System data using ship yaw and equation of ship response

Cited by 4 publications

References 65 publications

Greetings from HYDRO 2023 Organizing Committee

Greetings from HYDRO 2023 Organizing Committee

Estimating Hydrodynamic Coefficients of Real Ships Using AIS Data and Support Vector Regression

The Effect of Port Growth on the Safety Index in Madura Strait

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