Real-time Analysis of Marine Traffic with AIS : Evaluation of Ship-handling Difficulty by Environmental Stress Model

Seta, Hiroaki; Сузукі, Осаму; Kamada, Koichi; Amano, Hiroshi

doi:10.9749/jin.115.45

Cited by 2 publications

(1 citation statement)

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“…Over a one week period, data was averaged every 30 minutes starting from midnight until the next midnight. High-risk rate areas including (6,6), (6,7), (7,7) and (7,8) Figure 8 shows the risk change by time in other cells, (6,5), (7,2), (7,9), (8,9) and (8,10),. Although risk is lower than the aforementioned areas, there is also high-risk time at 1800 hours.…”

Section: Collision Risk Time Series Analysismentioning

confidence: 99%

Collision Risk Analysis in Busan Harbour

Gug¹,

Fukuda²,

Cho³

et al. 2014

Journal of Navigation and Port Research

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: This thesis, concentrates on marine collision risks of the area divided by cells. Using a gas molecular collision calculation model, a collision risk model is proposed. Collision risk is estimated by relative angle, relative speed, and ship's density in the cell. For one week, Automatic Identification System (AIS) data was collected and analyzed on the Busan North Port area. The results indicate a high-risk area at the sea route connection point in Busan North Port . It also shows that twilight is the time of day when most collisions occur . This means that the area is high risk due to the number of collisions and other dangerous factors related to twilight . Although there is still need to consider other risks such as grounding risks, the results of this study are useful to for plotting a risk map for the port.

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Section: Collision Risk Time Series Analysismentioning

confidence: 99%

Collision Risk Analysis in Busan Harbour

Gug¹,

Fukuda²,

Cho³

et al. 2014

Journal of Navigation and Port Research

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A Statistical Analysis of the Waiting Activity in Offshore Waters - A Case of Hanshin Port -

Koba¹,

Han²,

Wakabayashi³

2010

J.JASNAOE

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SummaryThis paper describes the real condition of vessel's waiting activities in offshore waters using the AIS dataset taken by Kobe university. The findings are as follows; (1) large vessels are less frequently waiting, but once they start waiting, the time of waiting is getting long, (2) vessels are waiting for the start of cargo handling at port so that they start waiting from late afternoon and exit from that status in the next morning. This paper also estimates the density function of the waiting time. Using this estimated density, the paper evaluates the effect of weather routing through the change in waiting activities.

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Real-time Analysis of Marine Traffic with AIS : Evaluation of Ship-handling Difficulty by Environmental Stress Model

Cited by 2 publications

References 0 publications

Collision Risk Analysis in Busan Harbour

Collision Risk Analysis in Busan Harbour

A Statistical Analysis of the Waiting Activity in Offshore Waters - A Case of Hanshin Port -

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