Probability of Ship on Collision Courses Based on the New PAW Using MMG Model and AIS Data

Asmara, I Putu Sindhu; Kobayashi, Eiichi; Wakabayashi, Nobukazu; Artana, Ketut Buda

doi:10.12716/1001.09.01.05

Cited by 3 publications

(2 citation statements)

References 5 publications

(10 reference statements)

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“…Modeling and simulation are crucial in safety research; correspondingly, most of the publications found starting in 2007 until 2016 model the probability of grounding and collision in specific waters, such as the Gulf of Finland, and Madura strait (Asmara et al 2015), and use algorithmic approaches to determine the areas of higher collision risks (Xiang et al 2013). AIS data have been used to demonstrate, for example, that avoidance maneuvers are operated too late or that (in some cases) the intensity of traffic does not alone increase the probability of grounding.…”

Section: Collision and Grounding Risk Assessmentmentioning

confidence: 99%

Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

Fournier

Hilliard²,

Rezaee

et al. 2018

WMU J Marit Affairs

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In 2016, the world shipping fleet grew by 3.5%. Even if the annual growth rate remains at its lowest since 2013, the global situation is still in overcapacity (UNCTAD 2016). Ninety percent of global trade, by volume, is done by sea. Monitoring this fleet helps with vessel navigation, informing to help avoid critical situations such as collisions, accidents leading to oil pollution, grounding, or ships in distress, but also because traffic management in congested areas is essential. For system wide management, in regions such as MPAs (marine protected areas), conservation is the key factor, and movements can be monitored and analyzed in order to determine illegal or suspicious activities, or in order to limit and/or divert traffic, to mitigate the risks to species subject to protection. It is among these efforts that the automatic identification system (AIS) can play a key role. Since 2004, this VHF transceiver-based reporting system, imposed by the International Maritime Organization (IMO), has shifted from a traditional vessel identification device to a tool used in a wide variety of applications. The most common uses are safety and security; these issues are quite visible in the media and may touch more people on a global scale (e.g., piracy, oil spills). Over the years, AIS has become, especially with the emergence of the satellite-based capture of the signal in 2011, a widely used tool for developing applications such as fisheries monitoring, marine conservation, air pollution forecasting and modeling, ballast water monitoring, invasive species transport, and many more. In this paper, we propose to review the peerreviewed publications related to the uses and applications of the AIS.

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Section: Collision and Grounding Risk Assessmentmentioning

confidence: 99%

Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

Fournier

Hilliard²,

Rezaee

et al. 2018

WMU J Marit Affairs

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“…AIS data utilization to be used for conducting a risk assessment for subsea facilities in Madura Strait is done by Mulyadi et.al by defining the safe distance of dropping anchor of the ship [3]. AIS historical data based on around area Tanjung Perak Surabaya harbor has used to analyze the probability of collision course ship when is maneuvering in ship trajectory [4].…”

Section: Introductionmentioning

confidence: 99%

Automatic Identification System (AIS) based Ship Heading Prediction using Artificial Neural Network and Wide Genetic Algorithm

2019

Maritime Safety International Conference (MASTIC 2018)

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International Maritime Organization (IMO) requires ship with more than 300 gross tonnages to have Automatic Identification System (AIS) onboard. AIS is used as a navigational aid to ensure the safety of ship operation including collision avoidance, vessel tracking, and accident investigation. AIS Transponder is installed onboard ship and transmitted data will be received by the base station as AIS data receiver. AIS Transponder provides information for instance a unique identification, position, course, and speed. Then those data will be utilized for many applications. Ship's movement information obtained from AIS such as position and heading can be utilized as an early warning to avoid the event of the collision. In some cases, ship heading data is unidentified caused by transponder incompatibility and mistakenly conducting setup of AIS transponder. To solve the problem, extrapolation method can be used to predict the ship's heading. However, this method has the disadvantage since it only considers the location of ships while the distinctive area near the port is ignored. This paper aims to develop a method to predict the ship heading based on AIS historical data of ship's movement using Artificial Intelligence (AI). Artificial Neural Network (ANN) has been chosen as AI prediction model. There are two pre-processing should do before training process such a down sampling and sliding window. Wide Genetic Algorithm (WGA) is used for ANN training process to create ANN model. WGA-ANN computes the ship heading by predicting the next geolocation of ship.

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Maneuvering Simulation and Safety Index of LNG Carriers in A Developing Port Area

Asmara

Dinariyana

Artana

et al. 2018

2018 International Conference on Applied Science and Technology (iCAST)

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Probability of Ship on Collision Courses Based on the New PAW Using MMG Model and AIS Data

Cited by 3 publications

References 5 publications

Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

Automatic Identification System (AIS) based Ship Heading Prediction using Artificial Neural Network and Wide Genetic Algorithm

Maneuvering Simulation and Safety Index of LNG Carriers in A Developing Port Area

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