Safer Ship Operation : Risk Assessment of Marine Traffic

2003 ◽  
Vol 106 (1012) ◽  
pp. 168-169
Author(s):  
Kinzo INOUE
Keyword(s):  
Risk Assessment ◽  
Marine Traffic ◽  
Operation Risk ◽  
Ship Operation

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.

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

USE OF BAYESIAN METHOD FOR ASSESSING VESSEL TRAFFIC RISKS AT SEA

2008 ◽  
Vol 07 (04) ◽  
pp. 627-638 ◽  
Author(s):  
SHENPING HU ◽  
XUDONG LI ◽  
QUANGEN FANG ◽  
ZAILI YANG
Keyword(s):  
Risk Assessment ◽  
Traffic Accidents ◽  
Point Estimation ◽  
Assessment Model ◽  
Quantitative Risk Assessment ◽  
Analysis Model ◽  
Ship Traffic ◽  
Traffic System ◽  
Relative Risks ◽  
Ship Operation

Risks associated with a vessel traffic system at sea are analyzed according to the elements in this system and a new method is developed to ensure safe ship operation. Based on Bayes' point estimation and probability influence diagram to estimate the traffic accidents related to vessel traffic, an analysis model is established for the quantitative risk assessment (QRA) of the vessel traffic system at sea. After the analysis on occurrence likelihood of the accidents related to ship traffic, a structure on the basis of Bayesian networks is developed to obtain the QRA of their relative risks. QRA is also put forward after analyzing the features and situations of the vessel traffic system and identifying the corresponding hazards including characteristics of those hazards. The risk distributions of ship traffic are described and results are presented on QRA in relation to various features by using this risk assessment model. This method, verified in the cases of QRA, turns out to be feasible by the use of identified posterior probability.

Mal-operation risk assessment for the feeder overcurrent protection in large-scale clustering wind farms

2015 ◽  
Vol 71 ◽  
pp. 26-32
Author(s):  
Ning Tong ◽  
Xiangning Lin ◽  
Zhengtian Li ◽  
Rui Zhang ◽  
Dexian Yang
Keyword(s):  
Risk Assessment ◽  
Large Scale ◽  
Wind Farms ◽  
Overcurrent Protection ◽  
Operation Risk

Case Study on FMECA and Risk Assessment for the Door System in High Speed Train

2013 ◽  
Vol 655-657 ◽  
pp. 2335-2339 ◽  
Author(s):  
Bi Hong Lu ◽  
Peng Hua ◽  
Zhen Liang Fu ◽  
Feng Gao
Keyword(s):  
Risk Assessment ◽  
High Speed ◽  
Failure Modes ◽  
Control Unit ◽  
High Speed Train ◽  
Locking Mechanism ◽  
Train Operation ◽  
Control Failure ◽  
Operation Risk

Based on the FMEA and risk assessment analysis method, authors proposed 25 kinds of failure modes about the door system of high-speed train, conducted a risk assessment from the risk grade and criticality. Four kinds of failure modes are obtained with the highest level of risk and criticality in the door system of high-speed train. They are control failure, communication failure, compensator failure and poor function. Four key components, affecting the door system safety of high-speed train, are identified in terms of door control unit, driving device, locking mechanism and platform compensator. Research outcomes can be used in analyzing the failure causes and specific solutions to reduce and avoid the high-speed train operation risk.

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