The Effects of Human Factors on Ship Collision Frequency

2011 ◽  
Author(s):  
M Hanninen ◽  
◽  
M Ladan ◽  
P Kujala ◽  
J Storgard ◽  
...  
2021 ◽  
Vol 9 (5) ◽  
pp. 533
Author(s):  
Mirko Čorić ◽  
Sadko Mandžuka ◽  
Anita Gudelj ◽  
Zvonimir Lušić

Ship collisions are one of the most common types of maritime accidents. Assessing the frequency and probability of ship collisions is of great importance as it provides a cost-effective and practical way to mitigate risk. In this paper, we present a review of quantitative ship collision frequency estimation models for waterway risk assessment, accompanied by a classification of the models and a description of their main modelling characteristics. Models addressing the macroscopic perspective in the estimation of ship collision frequency on waterways are reviewed in this paper with a total of 29 models. We extend the existing classification methodology and group the collected models accordingly. Special attention is given to the criteria used to detect potential ship collision candidates, as well as to causation probability and the correlation of models with real ship collision statistics. Limitations of the existing models and future improvement possibilities are discussed. The paper can be used as a guide to understanding current achievements in this field.


2017 ◽  
pp. 117-122 ◽  
Author(s):  
Max Karlsson ◽  
Finn M.Rasmussen ◽  
Lars Frisk ◽  
Finn Ennemark

2016 ◽  
Vol 13 (12) ◽  
pp. 9492-9497
Author(s):  
Tian Chai ◽  
De-Qi Xiong

2016 ◽  
Vol 156 ◽  
pp. 210-227 ◽  
Author(s):  
P. Sotiralis ◽  
N.P. Ventikos ◽  
R. Hamann ◽  
P. Golyshev ◽  
A.P. Teixeira

2014 ◽  
Vol 686 ◽  
pp. 321-326 ◽  
Author(s):  
Hong Xi Li

In order to effectively analyze the mechanism for the occurrence of ship collision accidents caused by human factors, an accident causing chain was constructed using the Bayesian network structure and the data mining algorithm. According to navigator's cognitive behavior forming process and human errors, the accident cause network structure was constructed using the Bayesian network structure by analyzing 120 typical cases about ship collision accidents caused by human factors; a collision accident cause chain was obtained by mining the frequent combination of human errors using data-mining based Apriori algorithm and JAVA programming language.


2015 ◽  
Vol 68 (3) ◽  
pp. 602-618 ◽  
Author(s):  
Jinxian Weng ◽  
Shan Xue

This study aims to evaluate ship collision frequency in port fairways. One case study is created using one month's real-time ship movement data from five major Singapore port fairways. Results show that tankers account for the biggest proportion in the Temasek fairway, whereas the percentage of Roll-on-Roll-Off (RORO) and passenger ships is quite small in the Temasek fairway, Sinki fairway, Jong fairway and Southern fairway. Tankers and container ships are the two major ship types involved in dangerous encounters. The largest number of dangerous head-on and overtaking encounters is located in the Jong fairway. The majority of dangerous crossing encounters have occurred in the West Keppel fairway and Jong fairway. Ship collision frequency at night is found to be significantly higher than during the day in these fairways.


Sign in / Sign up

Export Citation Format

Share Document