Statistical validation of a voyage simulation model for ocean-going ships using satellite AIS data

Fujii, Michio; Hashimoto, Hirotada; Taniguchi, Yousuke; Kobayashi, Eiichi

doi:10.1007/s00773-019-00626-3

Cited by 9 publications

(2 citation statements)

References 12 publications

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“…According to IMO RESOLUTION MSC.74(69) (Fujii et al, 2019 ), the AIS sending frequency of the route is related to the speed and heading. In addition, the LSTM requires the input data to be standard equal-length data.…”

Section: Production Of Datasetsmentioning

confidence: 99%

Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm

Zhuang

Chen

2022

Front. Neurorobot.

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The autonomous generation of routes is an important part of ship intelligence and it can be realized by deep learning of the big data of automatic identification system (AIS) ship trajectories. In this study, to make the routes generated by long short-term memory (LSTM) artificial neural network more accurate and efficient, a ship route autonomous generation scheme is proposed based on AIS ship trajectory big data and improved multi-task LSTM artificial neural network. By introducing an unsupervised trajectory separation mechanism into LSTM, a fast and accurate separation of trajectories with similar paths is realized. In the process of route generation, first of all, a clustering algorithm is used to cluster the trajectories in massive AIS data according to the density of trajectory points, so as to eliminate the trajectories in the routes that do not belong to the target area. Furthermore, the routes are classified according to the type of ships, and then the classified trajectories are processed and used as datasets. Based on these datasets, an improved LSTM algorithm is used to generate ship routes autonomously. The results show the improved LSTM works better than LSTM when the generated route trajectories are short.

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Section: Production Of Datasetsmentioning

confidence: 99%

Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm

Zhuang

Chen

2022

Front. Neurorobot.

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“…A significant amount of research is in progress to regulate the practical application of simplified operational measures, some of which includes studies addressing operational limitations based on the standard WST or modified WST for specific failure modes and ship types [15][16][17]. Studies are also being conducted on the application of guidance [18,19]. In addition, some research focuses on variation in stability estimation when different weather data sources are used [20,21].…”

Section: Introductionmentioning

confidence: 99%

Standard Wave Scatter Table Limitation for Evaluating SGISC Based on Hindcast Data Analysis

Raj

Enshaei²,

Abdussamie³

2023

Applied Sciences

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The operational measure (OM) of the Second-Generation Intact Stability Criteria (SGISC) is the initial step toward the design of a performance-based dynamic stability assessment of the ship by considering the vessel’s operation, loading condition and weather parameters. The SGISC recommends the standard wave scatter table (WST) for the environmental data, an indefinite requirement for a simplified assessment pathway, which provides the probability of wave occurrence. The existing standard WST was developed based on the North Atlantic Ocean. The study aims to identify the discrepancy in the probability of wave occurrence in the IMO-recommended WST when compared with developed hindcast WST for smaller regions of the North Atlantic Ocean for the application of the SGISC. This study is one of a kind and very significant, given that the assessment using the standard WST provided unrestricted operational ability to ship under the SGISC. The findings of this research provide insights into significant differences in the existing standard WST when compared graphically with hindcast data, especially across different seasons of the North Atlantic Ocean. A case study of OMs on the C11 class post-Panamax container ship for excessive acceleration is provided to better represent the study. In the case study, the operational limitation defined by the hindcast WST for individual sea areas and seasons is compared with the standard WST. This investigation shows that regional and seasonal operational limitations are required for season 4 operation beyond the standard WST safety estimation and that the operational limitation achieved with standard WST is not adequate. The findings suggest that the identified limitations significantly limit the use of a standard WST for unrestricted operational validation in the SGISC. The provided recommendation is very relevant in improving the safety assessment using vulnerability criteria, given that the hindcast data are reliable and available for the season and are also region-specific, and hence the accuracy of the ship stability can be improved while using the SGISC.

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A Case Study on Operational Measures for Avoiding Parametric Rolling

Hashimoto¹,

Taniguchi²,

Fujii³

2023

Fluid Mechanics and Its Applications

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Statistical validation of a voyage simulation model for ocean-going ships using satellite AIS data

Cited by 9 publications

References 12 publications

Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm

Research on autonomous route generation method based on AIS ship trajectory big data and improved LSTM algorithm

Standard Wave Scatter Table Limitation for Evaluating SGISC Based on Hindcast Data Analysis

A Case Study on Operational Measures for Avoiding Parametric Rolling

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