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Floris Goerlandt

Researcher at Dalhousie University

Publications -  158
Citations -  5038

Floris Goerlandt is an academic researcher from Dalhousie University. The author has contributed to research in topics: Computer science & Risk analysis. The author has an hindex of 31, co-authored 133 publications receiving 3480 citations. Previous affiliations of Floris Goerlandt include Katholieke Universiteit Leuven & Maritime University of Szczecin.

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Traffic simulation based ship collision probability modeling

TL;DR: A method is proposed to assess the probability of vessels colliding with each other, capable of determining the expected number of accidents, the locations where and the time when they are most likely to occur, while providing input for models concerned with the expected consequences.
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Maritime transportation risk analysis: Review and analysis in light of some foundational issues

TL;DR: A review and analysis of risk definitions, perspectives and scientific approaches to risk analysis found in the maritime transportation application area, focusing on applications addressing accidental risk of shipping in a sea area reveals that in theApplication area, risk is strongly tied to probability, both in definitions and perspectives, while alternative views exist.
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A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels

TL;DR: In this article, the authors present a systematic, transferable and proactive framework estimating the risk for maritime transportation systems, meeting the requirements stemming from the adopted formal definition of risk, which requires a proactive approach when it comes to risk modelling.
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A framework for risk analysis of maritime transportation systems: A case study for oil spill from tankers in a ship–ship collision

TL;DR: In this article, a framework for risk analysis of maritime transportation systems, where risk analysis is understood as a tool for argumentative decision support, is proposed, where uncertainty is given a more prominent role than in the current state of art in the maritime transportation application area.
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A method for detecting possible near miss ship collisions from AIS data

TL;DR: In this paper, a vessel conflict ranking operator (VCRO) is proposed to detect possible near miss ship-ship collisions from AIS data, which considers the following factors affecting the complexity of an encounter between two ships: the distance between the two ships, the relative speed of the ships, and the difference between the headings of ships.