scholarly journals Risk Assessment of Marine Traffic Safety at Coastal Water Area

2012 ◽  
Vol 45 ◽  
pp. 31-37 ◽  
Author(s):  
Shenping Hu ◽  
Jinpeng Zhang
Keyword(s):  
Risk Assessment ◽  
Coastal Water ◽  
Traffic Safety ◽  
Water Area ◽  
Marine Traffic

Towards a Model of Regional Vessel Near-miss Collision Risk Assessment for Open Waters based on AIS Data

2019 ◽  
Vol 72 (06) ◽  
pp. 1449-1468 ◽  
Author(s):  
Weibin Zhang ◽  
Xinyu Feng ◽  
Yong Qi ◽  
Feng Shu ◽  
Yijin Zhang ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Safety Management ◽  
Open Water ◽  
Water Area ◽  
Assessment System ◽  
Near Miss ◽  
Collision Risk ◽  
Accurate Analysis ◽  
Open Water Area ◽  
Temporal Features

The absence of a regional, open water vessel collision risk assessment system endangers maritime traffic and hampers safety management. Most recent studies have analysed the risk of collision for a pair of vessels and propose micro-level risk models. This study proposes a new method that combines density complexity and a multi-vessel collision risk operator for assessing regional vessel collision risk. This regional model considers spatial and temporal features of vessel trajectory in an open water area and assesses multi-vessel near-miss collision risk through danger probabilities and possible consequences of collision risks via four types of possible relative striking positions. Finally, the clustering method of multi-vessel encountering risk, based on the proposed model, is used to identify high-risk collision areas, which allow reliable and accurate analysis to aid implementation of safety measures.

Using AIS Data for Navigational Risk Assessment in Restricted Waters

2013 ◽  
pp. 245-254
Author(s):  
Adi Maimun ◽  
Istaz F. Nursyirman ◽  
Ang Yit Sian ◽  
Rahimuddin Samad ◽  
Sulaiman Oladokun
Keyword(s):  
Risk Assessment ◽  
Traffic Flow ◽  
Assessment Method ◽  
Collision Probability ◽  
Traffic Density ◽  
Automatic Identification ◽  
High Concentration ◽  
Marine Traffic ◽  
Cross Traffic ◽  
Strait Of Malacca

The Strait of Malacca is one of the most important shipping lanes in the world. It averages 150 ship passes a day and more than 50,000 ships annually. With a high concentration of vessels in a narrow path, multiple risk situations arise. Analyzing traffic density is made harder by cross traffic and an unknown traffic density at the Strait. In 2009, Universiti Teknologi Malaysia (UTM), through a collaboration with Kobe University, successfully installed an Automatic Identification System (AIS) receiver. Through the AIS receiver, data of ship movements in the Strait of Malacca and Singapore could be recorded. A program was established by UTM to retrieve the data for the purpose of marine traffic collision risk analysis. In this research, a risk assessment method using AIS data is proposed for restricted waters such as for the Strait of Malacca and Singapore. The Risk Assessment Methodology requires the estimation of collision probabilities. The collision probability of the proposed method considers the Traffic Density, directions of traffic flow (with respect to a subject vessel), and probability of navigational failure. An area in the Strait of Singapore between the latitudes of 1°13’N and 1°07’N and Longitudes of 103°4’E and 103°56’E was selected to illustrate the method. By analysing the AIS data of traffic flow, the probabilities of collision for the area were determined. The effect of vessel parameters of length and speed on the risks of collision are also shown.

Analysis of the marine traffic safety in the Gulf of Finland

2009 ◽  
Vol 94 (8) ◽  
pp. 1349-1357 ◽  
Author(s):  
P. Kujala ◽  
M. Hänninen ◽  
T. Arola ◽  
J. Ylitalo
Keyword(s):  
Traffic Safety ◽  
Gulf Of Finland ◽  
Marine Traffic ◽  
The Gulf Of Finland

Anomalous Conditions in the Slope Water Area in 1959

1964 ◽  
Vol 21 (2) ◽  
pp. 327-333 ◽  
Author(s):  
L. V. Worthington
Keyword(s):  
Coastal Water ◽  
North Atlantic ◽  
Cold Water ◽  
Large Data ◽  
Water Area ◽  
Research Vessel ◽  
Weather Pattern ◽  
High Incidence ◽  
Coastal Fog ◽  
Deep Current

An oceanographic section made with the research vessel Crawford in June 1959 showed that the proportion of Labrador-Coastal Water to Slope Water at the meridian 57°30′W was unusually large. Data from this section combined with bathythermograms taken elsewhere in the Slope Water area and direct deep current measurements suggest that there was an abnormal influx of cold water from the Labrador Basin in 1959. This suggestion is strengthened by the high incidence of coastal fog in the summer of 1959. It is suggested that the cause of this influx was an abnormal North Atlantic weather pattern in January 1959.

Risk Evaluation in Marine Traffic Systems Based on Fuzzy Catastrophe Theory

2014 ◽  
Vol 527 ◽  
pp. 319-325
Author(s):  
Ji Qi ◽  
Zhong Yi Zheng ◽  
Jian Min Li
Keyword(s):  
Risk Prediction ◽  
Traffic Safety ◽  
Catastrophe Theory ◽  
Evaluation Method ◽  
Risk Model ◽  
Marine Traffic ◽  
State Evaluation ◽  
Prediction And Control ◽  
Traffic Systems ◽  
And Control

The main purpose of MArine Traffic Safety System (MATSS) study, based on catastrophe theory, is to ensure the safety of marine traffic and reveal the essence of traffic risks, and so as to create an effective risk prediction and control mechanism. In this paper, cusp catastrophe was modeled and evolutionary path of MATSS was described. Hence, Fuzzy Catastrophe Theory was concluded. This theory combines Fuzzy Math with Catastrophe Theory and is derived from analysis of uncertainties of marine traffic, including dynamics, irreversibility and mutability. The adverse impacts of system potential function and uncertainties of outside controlling factors were minimized via developing such a theory. The marine traffic risk model was created taking perspectives of various observers into consideration accordingly. As a result, Fuzzy Catastrophe Evaluation Method was presented, which is beneficial to the system safety state evaluation and decision. In the end of the paper, the objectivity and rationality of the method was validated by MATLAB, which has broad application in marine risk prediction and control.

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