• Journal of Advanced Marine Engineering and Technology
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• v.25 no.4
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• pp.735-746
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• 2001

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.74-74
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• 2017

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.75-75
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• 2017

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.6
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• pp.634-643
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• 2020

Because of the continuous increase in the demand for and importance of marine space, marine exploration and survey activities are being actively conducted in Korea actively. Because the marine survey vessels used for these activities have special operational patterns depending on the purpose and probe vessels, research on maritime traffic risk is required. In this study, an attempt was made to determine the correlation of each factor with the effect of marine exploration and survey vessel operation on maritime traffic. The status of ocean exploration and survey vessels in operation in Korea was identified, as well as the special operational conditions of some of the ocean physical probes. Generally, the number of exploration and survey vessels involved per hour, total vessel length(including exploration equipment), operation, interval distance of exploration as per plan, and marine traffic conditions(traffic volume and speed) can be classified as operating factors. To compare the results of the environmental stress, a maritime traffic flow simulation based on the "ES" Model was performed with each of the identified operating factors as independent variables. The results of the analysis confirmed that the environmental stress significantly changed in the order of traffic volume, ship length and speed. In addition, it was confirmed that the environmental stress is reduced when the operation course is set at an angle with the nearby maritime traffic flow. Accordingly, it can help reduce the operator's burden if the survey vessel operator understands nearby maritime traffic conditions and reflects them in the operation method when setting the operation plan.

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.1
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• pp.33-41
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• 2014

Unlike the existing regression analysis, this study anticipated future marine traffic volume using time series analysis and artificial neural network model. Especially, it tried to anticipate future marine traffic volume by applying predictive value through time series analysis on artificial neural network model as an additional input variable. This study used monthly observed values of Incheon port from 1996 to 2013. In order for the verification of the forecasting of the model, value for 2013 is anticipated from the built model with observed values from 1996 to 2012 and a proper model is decided by comparing with the actual observed values. Marine traffic volume of Incheon port showed more traffic than average for May and November by 5.9 % and 4.5 % respectably, and January and August showed less traffic than average by 8.6 % and 4.7 % in 2015. Thus, it is found that Incheon port has difference in monthly traffic volume according to the season. This study can be utilized as a basis to reflect the characteristics of traffic according to the season when investigating marine traffic field observation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.5
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• pp.527-534
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• 2019

Several types of mathematical analysis methods are used for port waterway risk assessment based on marine traffic volume. In Korea, a marine traffic congestion model that standardizes the size of the vessels passing through the port waterway is applied to evaluate the risk of the waterway. For example, when marine traffic congestion is high, risk situations such as collisions are likely to occur. However, a scientific review is required to determine if there is a correlation between high density of maritime traffic and a high risk of waterway incidents. In this study, IWRAP Mk2(IALA official recommendation evaluation model) and a marine traffic congestion model were used to analyze the correlation between port waterway risk and marine traffic congestion in the same area. As a result, the linear function of R2 was calculated as 0.943 and it was determined to be significant. The Pearson correlation coefficient was calculated as 0.971, indicating a strong positive correlation. It was confirmed that the port waterway risk and the marine traffic congestion have a strong correlation due to the influence of the common input variables of each model. It is expected that these results will be used in the development of advanced models for the prediction of port waterway risk assessment.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.5
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• pp.431-438
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• 2012

The representative risk evaluation techniques of the marine traffic environment are the FSA, PAWSA, & IWRAP. For the development of these techniques, the risk factors suitable to the marine traffic environment should be selected & the assessment criterion of the risk factors should be provided. The risk factors were selected as the factors that relate both to the frequency of casualty & to the consequence of casualty because the risk was defined as the frequency of casualty times the consequence of that casualty on the existing techniques. But, the risk factors relate to the consequence of casualty are excluded because the risk is defined as the sum of the risk factors including the frequency and the consequence by factors on this study. The 20 kinds of risk factors to compose the risk are selected and classified into 5 categories according to similar nature through the analysis of preceding study on the classification of the risk factors. Finally, as the foundation of risk assessment model's development for domestic marine traffic environment, the practical assessment criterion of the risk factors are suggested.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.18-18
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• 2017

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.2
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• pp.151-158
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• 2019

Wireless communication technology (WAVE) for vehicles, which is the core technology behind the next-generation intelligent transport system (C-ITS), is used to deliver information about vehicles to prevent traffic accidents and traffic situations that may arise between vehicles and infrastructure. Similar traffic issues often arise in marine scenarios. Currently, AIS is being used as a means of transmitting information such as the status of relative vessels, but research is being carried out to solve problems with AIS such as overloading by applying wireless communication technology for vehicles to the sea. In this study, a collision warning system suitable for small-sized vessels was developed based on the marine application of WAVE for vehicles verified through prior research, and the adequacy of this collision warning system was reviewed through a practical test. It is expected that this system will contribute greatly to future e-Navigation applications or self-driving ships as well as to preventing marine accidents.

• Journal of Navigation and Port Research
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• v.31 no.3 s.119
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• pp.173-178
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• 2007

Route Design & TSS(Traffic Separation Scheme} establishment are often used to improve the maritime traffic safety in the heavily congested traffic area. There are several domestic and international route design guidelines, but there is no guideline of TSS design As a result, TSS is usually designed based on the subjective opinions of professionals in this field. Until now, there exist a few papers dealing with the effects of TSS on the reduction of maritime accidents, however, it is hard to find a paper on the design guidelines of TSS. In this paper, TSS design guidelines are proposed based on the quantitative assessment of navigational difficulty felt by mariners, which is expected to improve navigational safety of vessels in congested area.