Developing a Ship Collision Risk Index estimation model based on Dempster-Shafer theory

Abebe, Misganaw; Noh, Yoojeong; Seo, Chanhee; Kim, Dong-Hyun; Lee, Inwon

doi:10.1016/j.apor.2021.102735

Cited by 40 publications

(10 citation statements)

References 26 publications

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“…The degree of collision likelihood between ships is commonly represented by the collision risk index, which ranges from 0 to 1. In this paper, the collision risk index of the target ship is determined by weighted summing the membership degrees of various risk factors, as expressed in Equation (14) [ 27 ]:

where

、

are weights of the parameter;

、

are the membership degrees of distance closest point of approach (DCPA)、time closest point of approach (TCPA)、distance (D)、relative bearing angle ( θ ) and speed ratio (K). The formulas for calculating DCPA and TCPA are as Equation (15) :

where

represents the relative bow angle between the two ships;

represents the relative velocity between the two ships.…”

Section: Methodsmentioning

confidence: 99%

A machine vision method for the evaluation of ship-to-ship collision risk

Jiang,

Zhang,

2024

Heliyon

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where

、

are weights of the parameter;

、

where

represents the relative bow angle between the two ships;

represents the relative velocity between the two ships.…”

Section: Methodsmentioning

confidence: 99%

A machine vision method for the evaluation of ship-to-ship collision risk

Jiang,

Zhang,

2024

Heliyon

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“…The repulsion function is determined by the Collision Risk Index (CRI) [10] . If the CRI obtained is less than the set safety value, it indicates that there is no collision risk at this time and the OS is not affected by the repulsion force of the TS.…”

Section: The Repulsion Function Of the Tsmentioning

confidence: 99%

Autonomous collision avoidance method based on improved artificial potential field in the traffic separation scheme waters

Guo,

Lyu,

Liu

et al. 2024

Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023)

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In order to realize the autonomous navigation of ships in the complex waters under the traffic separation system (TSS), taking the Chengshanjiao TSS waters as an example, an improved autonomous collision avoidance algorithm is proposed based on the artificial potential field (APF) method. By establishing five kinds of potential fields and their force functions, including the gravitational function of the goal point, the repulsion function of the target ships (TS), the gravitational function of the centerline of the traffic lane, the velocity function of the ship, and the boundary repulsion function of the navigation lane, finally the resultant force of them is calculated to guide the navigation direction of the ship, during the navigation process in this TSS water. Multiple groups of comparative experiments demonstrated that under the improved algorithm, the ship could avoid collisions with TS in four typical scenarios, according to the requirements of the 1972 International Regulations for Preventing Collisions at Sea (COLREGS) and good seamanship practice, simultaneously the ship could proceed in the navigable lane and keep safe distance with the boundaries and separation zones. The method proposed in this paper is expected to provide basic theoretical basis and technical support for the safe navigation of autonomous ships in TSS waters.

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“…where D is the relative distance between the UV and the target ship which can be given as follows [2]: , (4) is the azimuth of the detected obstacle (target ship). denotes the relative movement course which can be calculated as follows:…”

Section: Fig 3 Approximate Zones Around the Vessel In Case Of Dangero...mentioning

confidence: 99%

Developing a Decision-Making Mechanism for Autonomous Collision Avoidance of Unmanned Navigation: Fuzzy Approach

Barakat,

Kvyatkovskaya

2023

IZVESTIYA SFedU. ENGINEERING SCIENCES

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Developing a Ship Collision Risk Index estimation model based on Dempster-Shafer theory

Cited by 40 publications

References 26 publications

A machine vision method for the evaluation of ship-to-ship collision risk

A machine vision method for the evaluation of ship-to-ship collision risk

Autonomous collision avoidance method based on improved artificial potential field in the traffic separation scheme waters

Developing a Decision-Making Mechanism for Autonomous Collision Avoidance of Unmanned Navigation: Fuzzy Approach

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