Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

Brčko, Tanja; Švetak, Jelenko

doi:10.7307/ptt.v25i6.1183

Cited by 17 publications

(10 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This effect approaches 0 at places far away from the obstacle. If there are M (M ∈ N+) point obstacles, the total potential field f point (p) can be found by: Figure 1 shows the total potential field for the two point obstacles p 1 (1,5) and p 2 (3,3) with different values of parameter β (β 1 = 10 and β 2 = 1).…”

Section: Static Environment Modelingmentioning

confidence: 99%

“…Some methods show great potential in solving multiship CA and path optimization, but they may be more time-consuming. For example, the computation time is at least a few seconds for the cooperative path planning (CPP) method [1,2] and a trajectory base algorithm (TBA) [3] but over 200 s for the evolutionary algorithm (EA)-based approach [4] and the fuzzy logic (FL) method [5], and the computation time of these methods is significantly increased with the number of obstacles, which makes it difficult to achieve real-time navigation, especially for high-speed ships.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast Path Planning for Autonomous Ships in Restricted Waters

Lyu

Yin

2018

Applied Sciences

View full text Add to dashboard Cite

Presently, there is increasing interest in autonomous ships to reduce human errors and support intelligent navigation, where automatic collision avoidance and path planning is a key problem, especially in restricted waters. To solve this problem, a path-guided hybrid artificial potential field (PGHAPF) method is first proposed in this paper. It is essentially a reactive path-planning algorithm that provides fast feedback in a changeable environment, including dynamic target ships (TSs) and static obstacles, for steering an autonomous ship safely. The proposed strategy, which is a fusion of the potential field and gradient methods, consists of potential-based path planning for arbitrary static obstacles, gradient-based decision-making for dynamic TSs, and their combination with consideration of the prior path and waypoint selection optimization. A three-degree-of-freedom dynamic model of a Mariner class vessel and a low-level controller have been incorporated together in this method to ensure that the vessel's positions are updated at each time step in order to acquire a more applicable and reliable trajectory. Simulations show that the PGHAPF method has the potential to rapidly generate adaptive, collision-free and International Regulations for Preventing Collisions at Sea (COLREGS)-constrained trajectories in restricted waters by deterministic calculations. Furthermore, this method has the potential to perform path planning on an electronic chart platform and to overcome some drawbacks of traditional artificial potential field (APF) methods.

show abstract

Section: Static Environment Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fast Path Planning for Autonomous Ships in Restricted Waters

Lyu

Yin

2018

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…20-22, in sports 23 and education 24 , in telecommunications 25 , and in the finance market 26 . Within the maritime industry, the FIS engine has been applied to the prevention of marine accidents 27 , to evaluate accident senarios 28 or to conduct safety analysis for marine systems 14 . The aim of this paper is to apply a fuzzy inference system (FIS) as a novel approach to risk assessment for each individual phase of the STS transfer operation.…”

Section: Fig1 Ship To Ship Transfer Areas Worldwidementioning

confidence: 99%

“…Hence, the FIS is a challenging way to apply fuzzy inference systems for the risk assessment of maritime activities. Previous works have shown 14,27,28 that the use of FIS for risk assessment can provide a valuable tool in the hand of experts.…”

Section: Background Of Fuzzy Inference System Theorymentioning

confidence: 99%

Ship to Ship Transfer of Cargo Operations: Risk Assessment Applying a Fuzzy Inference System

Stavrou¹,

Ventikos²

2014

JRACR

View full text Add to dashboard Cite

Although the safety records for Ship to Ship (STS) transfer operations reflect to safe procedures, nevertheless it remains a complex operation that needs special consideration due to the adverse consequences of a potential accident. The aim of this paper is to apply fuzzy inference system as a novel approach for risk assessment for STS transfer operations. The advantages of the fuzzy approach are highlighted through the application of the Mamdani's method for hypothetical accident scenarios.

show abstract

“…Many studies used fuzzy logic, especially when it comes to avoiding a collision. Meteorological risk assessment is neglected in those studies [8]- [11]. The fuzzy logic-based approach is convenient to make a ship-bridge collision alert system.…”

Section: Introductionmentioning

confidence: 99%

Meteorological Risk Assessment for Ships with Fuzzy Logic Designer

2020

International Journal of Fuzzy Systems and Advanced Applications

View full text Add to dashboard Cite

Fuzzy Logic, an advanced method to support decision-making, is used by various scientists in many disciplines. Fuzzy programming is a product of fuzzy logic, fuzzy rules, and implication. In marine science, fuzzy programming for ships is dramatically increasing together with autonomous ship studies. In this paper, a program to support the decision-making process for ship navigation has been designed. The program is produced in fuzzy logic and rules, by taking the marine accidents and expert opinions into account. After the program was designed, the program was tested by 46 ship accidents reported by the Transportation Safety Investigation Center of Turkey. Wind speed, sea condition, visibility, day/night ratio have been used as input data. They have been converted into a risk factor within the Fuzzy Logic Designer application and fuzzy rules set by marine experts. Finally, the expert's meteorological risk factor for each accident is compared with the program's risk factor, and the error rate was calculated. The main objective of this study is to improve the navigational safety of ships, by using the advance decision support model. According to the study result, fuzzy programming is a robust model that supports safe navigation.

show abstract

Fuzzy Reasoning as a Base for Collision Avoidance Decision Support System

Abstract: ABSTRACT

Cited by 17 publications

References 15 publications

Fast Path Planning for Autonomous Ships in Restricted Waters

Fast Path Planning for Autonomous Ships in Restricted Waters

Ship to Ship Transfer of Cargo Operations: Risk Assessment Applying a Fuzzy Inference System

Meteorological Risk Assessment for Ships with Fuzzy Logic Designer

Contact Info

Product

Resources

About