Multi-target collision avoidance route planning under an ECDIS framework

Tsou, Ming-Cheng

doi:10.1016/j.oceaneng.2016.05.040

Cited by 93 publications

(35 citation statements)

References 14 publications

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“…There are several approaches that use AIS data for resolving collision risk difficulties. Tsou (2016) adopted ECDIS as an information platform together with the AIS real time data to develop predicted areas of danger. This model incorporated spatial data from Electronic Navigation Charts (ENC) and used Geographic Information System (GIS) data together with collision regulations to develop decision support system able to cope with multiple targets and geographical obstacles when proposing a route to the user.…”

Section: Review and Fundamentalsmentioning

confidence: 99%

Early Detection of Vessel Collision Situations in a Vessel Traffic Services Area

et al. 2019

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This study presents enhanced collision detection model in a Vessel Traffic Services (VTS) area. The proposed detection method of collision situations is based on the assumption that VTS station is provided with passage plans of all the vessels in a monitored area. By using an early detection model for prediction of possible collision situations, VTS stations could switch from the area-monitoring concept to the passage-monitoring system. An early detection model of collision risks in a VTS area uses vessels’ dynamic characteristics as inputs (vessels’ position, course over ground and speed), and delivers prediction of their future positions as output. In order to achieve the desired accuracy, the model takes into the account the intended course alterations and the impending environmental loads. The model is able to provide the outputs as early as the passage plans are submitted to a VTS monitored area. Hence, when discussing model’s capability for early detection of collision situations, improved VTS operating standards could be developed in order to achieve safer passages through enhanced collision avoidance strategies. Simulation results clearly show the advantages of the proposed model as a decision support tool for a VTS operator when combining passage plans with the analysis of environmental loads.

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Section: Review and Fundamentalsmentioning

confidence: 99%

Early Detection of Vessel Collision Situations in a Vessel Traffic Services Area

et al. 2019

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“…DCPA and TCPA have been successfully used to design ship anticollision systems. [7] A control module has been designed for various purposes, i.e. course keeping, course changing, and collision avoidance modes.…”

Section: Introductionmentioning

confidence: 99%

Collision Avoidance Control – Accurate in Narrow Water Case Study: in West Line Tanjung Perak Surabaya, Indonesia

2019

Maritime Safety International Conference (MASTIC 2018)

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The study of an automatic control system to avoid collisions between ships has been done through the design of an autopilot system. The algorithms of control based on fuzzy and applicable of COLREGS rules. This study was conducted in numerical computer simulation in variety of control fuzzy methods. Fuzzy logic system works based on AIS data, and the output system is the speed and direction of the vessel that is capable of avoiding collisions with other vessels and foreign objects. A case study was conducted on the western line of Tanjung Perak Surabaya, Indonesia. The result of the avoidancecollision system shows that the accurate increase of the distance and the different heading between the vessels is precisely generated by the DCPA-TCPA inputs of fuzzy control.

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“…Despite all significant positive outcomes, the issue of ship collision avoidance in a heavy traffic zone [1] is still urgent. So, in the paper [2] the authors report on the concept of expected dangerous patterns (areas) projected on the automatic identification system data. The integration of the Geographic Information System, the International Regulations for Preventing Collisions at Sea (COLREGs), and a thorough investigation of various navigation vessel cases gives the system an opportunity to generate a safe ship collision prevention route and maritime features.…”

Section: Introductionmentioning

confidence: 99%

The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone

Sedova

Sedov

Баженов

2018

Advances in Fuzzy Systems

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The paper dwells on the methodology of neural-fuzzy approach to solving the problem of ship collision prevention in a heavy traffic zone. The authors present the technique of using maneuvering board to form the elements of learning sample. The authors prove that it is rational to use a neural-fuzzy system, where generation is carried out by the lattice method without clustering. The authors investigate the effect of optimization on the quality differences. The researchers define optimal membership functions that are used to generate the input linguistic variables of a neural-fuzzy system.

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Multi-target collision avoidance route planning under an ECDIS framework

Cited by 93 publications

References 14 publications

Early Detection of Vessel Collision Situations in a Vessel Traffic Services Area

Early Detection of Vessel Collision Situations in a Vessel Traffic Services Area

Collision Avoidance Control – Accurate in Narrow Water Case Study: in West Line Tanjung Perak Surabaya, Indonesia

The Neural-Fuzzy Approach as a Way of Preventing a Maritime Vessel Accident in a Heavy Traffic Zone

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