A Revisit of the Definition of the Ship Domain based on AIS Analysis

Hörteborn, Axel; Ringsberg, Jonas W.; Svanberg, Martin; Holm, Henrik

doi:10.1017/s0373463318000978

Cited by 43 publications

(32 citation statements)

References 18 publications

(34 reference statements)

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“…In the literature, many ship domains with various shapes and scales have been proposed in previous studies, including ellipse domain, circle domain and polygon domain. It should be pointed out that ship domain sizes are related to ship length in the majority of previous studies but Hörteborn et al (2019) found that the ship domain is not affected by ship length. Fujii and Tanaka (1971) assumed the ship domain is an ellipse in their study of traffic capacity estimation in Japanese waters.…”

Section: Literature Reviewmentioning

confidence: 94%

Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River

2019

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The objective of this study is to propose a methodology for assessing waterway traffic capacity in the Shanghai estuary of the Yangtze River. To achieve this objective, we first put forward the estimation method which utilises the minimum collision distance taking the dynamic ship domain into consideration. Considering possible effects caused by unknown external factors, the waterway traffic capacity is then represented by a probability distribution. Finally, we quantify the equivalent units of ships with various ship sizes as well as the effects of large-sized ships on the waterway traffic capacity. Results show that a large-sized ship is equivalent to more small-sized ships during the daytime period than at night. In addition, the deployment of large-sized ships could increase the waterway traffic capacity and such an increment highly depends on the increased proportion of large-sized ships in the waterway traffic.

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Section: Literature Reviewmentioning

confidence: 94%

Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River

2019

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“…Since in Subsection 2.1 the waterway was divided into several lanes, which has already taken the lateral safe distance into account, this section only deals with the longitudinal safe distance between ships in the same lane. Most of the research results show that the longitudinal size of the ship domain is roughly proportional to the length of the ship (Liu et al, 2011; Qi et al, 2011; Hansen et al, 2013; Liu et al, 2016; Hörteborn et al, 2019; Zhou and Zheng, 2019). As mentioned above, the length of a ship can be denoted by ; then, based on the ship domain, the safe distance between a ship and its preceding ship in the same lane can be calculated by Equation (2): where is the multiple of safe distance relative to ship length.…”

Section: Methodsmentioning

confidence: 99%

A cellular automaton-based model of ship traffic flow in busy waterways

Balling

et al. 2021

J. Navigation

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In busy waterways, spatial-temporal discretisation, safe distance and collision avoidance timing are three of the core components of ship traffic flow modelling based on cellular automata. However, these components are difficult to determine in ship traffic simulations because the size, operation and manoeuvrability vary between ships. To solve these problems, a novel traffic flow model is proposed. Firstly, a spatial-temporal discretisation method based on the concept of a standard ship is presented. Secondly, the update rules for ships’ motion are built by considering safe distance and collision avoidance timing, in which ship operation and manoeuvrability are thoroughly considered. We demonstrate the effectiveness of our model, which is implemented through simulating ship traffic flow in a waterway of the Yangtze River, China. By comparing the results with actual observed ship traffic data, our model shows that the behaviours and the characteristics of ships’ motions can be represented very well, which also can be further used to reveal the mechanism that affects the efficiency and safety of ship traffic.

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“…Pietrzykowski also employed the method of collecting ship domain knowledge to obtain training samples, trained the fuzzy neural network model, and determined the ship domain model in a narrow channel and open water area (Pietrzykowski, 2008; Pietrzykowski and Uriasz, 2009). Based on 600,000 ship encounters in 36 locations, Hörteborn analysed the determination of the ship domain model boundary scale and discussed the factors that influence the scale (Hörteborn et al, 2018).…”

Section: Related Workmentioning

confidence: 99%

Ship domain model for ships with restricted manoeuvrability in busy waters

et al. 2021

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Ship domain is an important theory in ship collision avoidance and an effective collision detection method. First, several classical ship domain models are used in experiments. The results show that the alarm rate is too high in busy waters, leading to greatly reduced practicality of the model. Potential collision risk cannot be detected effectively, especially for a ship with restricted manoeuvrability, which is usually regarded as an overtaken ship due to its navigation characteristics. Therefore, it is necessary to fully consider the interference of other ships to ships with limited manoeuvrability in an encounter situation. A novel ship domain model for ships with restricted manoeuvrability in busy waters is proposed. Considering the navigation characteristics of a ship with restricted manoeuvrability and the influence of the ship–ship effect, an algorithm to determine the boundary of the ship domain model is given by force and moment equations. AIS trajectory data of the North Channel of the Yangtze River Estuary are used to perform a comparative experiment, and four classical ship domain models are employed to perform comparative experiments. The results show that the alarm rates of the novel ship domain model are 7⋅608%, 15⋅131%, 55⋅785% and 7⋅608% lower than those of the other four classical models, and this outcome can effectively reduce the high false alarm rate produced by other models in this environment.

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A Revisit of the Definition of the Ship Domain based on AIS Analysis

Cited by 43 publications

References 18 publications

Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River

Methodology for Estimating Waterway Traffic Capacity at Shanghai Estuary of the Yangtze River

A cellular automaton-based model of ship traffic flow in busy waterways

Ship domain model for ships with restricted manoeuvrability in busy waters

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