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Peel, Grant J (author), Gedikli, Ersegun D (author), Hendrikse, H. (author)
Climate change is affecting global weather patterns, but nowhere is this more apparent than in the Arctic. The Arctic is an extreme environment going through rapid climate change, resulting in the opening of new shipping lanes and leading to less multiyear ice formation. This increases the risk of collision with the sea ice making it difficult...
conference paper 2023
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Li, M. (author), Mou, Junmin (author), Chen, Pengfei (author), Chen, Linying (author), van Gelder, P.H.A.J.M. (author)
Regional risk analysis and management of maritime accidents is one of the fundamental tasks for maritime safety management. With the heavy and complicated maritime traffic in the ports and waterways, accidents, especially ship collision accidents, have been continuously posing threats to the maritime transportation system. To achieve effective...
journal article 2023
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Chen, P. (author)
Maritime transportation has been one of the major contributors to the global trade and economy. Accidents, however, have been continuously posing risks to individuals and societies in terms of loss of human life, economic and environmental consequences, etc. This thesis paid particular attention to the probabilistic risk analysis of ship...
doctoral thesis 2020
document
Meijers, B.M. (author), Quak, C.W. (author), van Oosterom, P.J.M. (author)
This paper reports on the result of two studies for using a geographical database management system for archiving Automated Identification System (AIS) message data. In this paper, we analyse the storage (using MongoDB and PostgreSQL) and we give a more in-depth description of a possible data model for archiving messages based on the bit vector...
conference paper 2017
document
Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
AIS (Automatic Identification System) data have proven to be a valuable source to investigate vessel behavior. The analysis of AIS data provides a possibility to recognize vessel behavior patterns in a waterway area. Furthermore, AIS data can be used to classify vessel behavior into several categories. The analysis results would help the port...
journal article 2015
document
Xiao, F. (author), Ligteringen, H. (author), van Gulijk, C. (author), Ale, B.J.M. (author)
AIS (Automatic Identification System) data provide valuable input data for the development of simulation models to prevent shipping accidents. This paper reports on the detailed analysis of AIS data for that purpose. This analysis is focused on restricted waterways to support inland waterway simulations, comparing the differences between a...
conference paper 2012
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Xiao, F. (author), Ligteringen, H. (author), Van Gulijk, C. (author), Ale, B.J.M. (author)
Collisions are an important factor in probabilistic risk modeling of waterway infrastructures. Especially in the design of bridges and terminals, the probability of ship collision is important. Researchers are looking for simulations that mimic ship behavior and estimate accident probabilities rather than using probabilistic accident models. AIS...
journal article 2012
document
Shu, Y. (author), Daamen, W. (author), Ligteringen, H. (author), Hoogendoorn, S.P. (author)
Maritime traffic safety and port capacity is increasingly important nowadays. Due to the fast development of vessel traffic in ports and waterways, a lot of attention has been paid to maritime traffic safety and port capacity. Many simulation models have been used to predict traffic safety and port capacity m ports and waterways. However,...
conference paper 2012
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