An intelligent real-time multi-vessel collision risk assessment system from VTS view point based on fuzzy inference system

Bukhari, Syed Ahmad Chan; Tusseyeva, Inara; Lee, Byung-Gil; Kim, Yong-Gi

doi:10.1016/j.eswa.2012.08.016

Cited by 129 publications

(49 citation statements)

References 19 publications

(18 reference statements)

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“…Later, Yalei et al developed a system for avoiding and preventing collisions between ships by using the time of the closest point of approach (TCPA), the distance of the closest point of approach (DCPA), and encounter angle [6]. Bukhari et al devised a method for calculating the degree of collision risk using the DCPA, TCPA, and vessel traffic system (VTS) [7]. In addition to simple marine collisions, Simsir et al proposed an artificial neural network using the Levenberg-Marquardt learning algorithm to prevent collisions when ships passed through a narrow strait [8].…”

Section: Related Workmentioning

confidence: 99%

“…Studies on maritime safety have been performed at pier control centers, as well as shipyards, laboratories, and universities. In particular, collision avoidance-the topic of this paper-has been addressed by many authors [4][5][6][7][8][9][10][11][12][13][14][15]. Researchers have studied systems to avoid collisions between ships by predicting collisions using fuzzy theories [4][5][6][7][8][9][10], introducing the concept of the ship domain [11][12][13], and improving existing systems [14,15].…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Study on the Estimation Method of Risk Based Area for Jetty Safety Monitoring

Nam

Lee

et al. 2015

Sustainability

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Abstract:Recently, the importance of safety-monitoring systems was highlighted by the unprecedented collision between a ship and a jetty in Yeosu. Accordingly, in this study, we introduce the concept of risk based area and develop a methodology for a jetty safety-monitoring system. By calculating the risk based areas for a ship and a jetty, the risk of collision was evaluated. To calculate the risk based areas, we employed an automatic identification system for the ship, stopping-distance equations, and the regulation velocity near the jetty. In this paper, we suggest a risk calculation method for jetty safety monitoring that can determine the collision probability in real time and predict collisions using the amount of overlap between the two calculated risk based areas. A test was conducted at a jetty control center at GS Caltex, and the effectiveness of the proposed risk calculation method was verified. The method is currently applied to the jetty-monitoring system at GS Caltex in Yeosu for the prevention of collisions.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Study on the Estimation Method of Risk Based Area for Jetty Safety Monitoring

Nam

Lee

et al. 2015

Sustainability

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“…The main challenge being experienced by all existing mobile devices that move independently without any control by humans remains that of navigation. Bukhari et al [3] did considerable work on this problem using fuzzy logic to try to solve the issue of multiple vessel navigation.…”

Section: Introductionmentioning

confidence: 99%

3D Global Dynamic Window Approach for Navigation of Autonomous Underwater Vehicles

Tusseyeva¹,

Kim²,

Kim³

2013

International Journal of Fuzzy Logic and Intelligent Systems

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An autonomous unmanned underwater vehicle is a type of marine self-propelled robot that executes some specific mission and returns to base on completion of the task. In order to successfully execute the requested operations, the vehicle must be guided by an effective navigation algorithm that enables it to avoid obstacles and follow the best path. Architectures and principles for intelligent dynamic systems are being developed, not only in the underwater arena but also in related areas where the work does not fully justify the name. The problem of increasing the capacity of systems management is highly relevant based on the development of new methods for dynamic analysis, pattern recognition, artificial intelligence, and adaptation. Among the large variety of navigation methods that presently exist, the dynamic window approach is worth noting. It was originally presented by Fox et al. and has been implemented in indoor office robots. In this paper, the dynamic window approach is applied to the marine world by developing and extending it to manipulate vehicles in 3D marine environments. This algorithm is provided to enable efficient avoidance of obstacles and attainment of targets. Experiments conducted using the algorithm in MATLAB indicate that it is an effective obstacle avoidance approach for marine vehicles.

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“…Recent advances in information technology and computer power have the potential to further strengthen the quality of navigation and ship-shore collaboration (see for example Ward, Alexander & Greenslade 2009;Weintrit 2011;Kim, Jeong & Park 2013;Su, Chang & Cheng 2012;Bukhari, Tusseyeva & Kim 2013). However, new and advanced technology may also introduce new problems, such as information overload (Eppler & Mengis 2002, Jackson & Farzaneh 2012, and user interface complexity (Lützhöft & Dekker, 2002;Lützhöft & Lundh, 2008).…”

Section: Introductionmentioning

confidence: 99%