Abstract
There exist various sources of data related to marine traffic safety, and the amount of data seems to be further growing in the future. However, the data sets have different formats, scopes, and initial purposes. The paper discusses the feasibility of maritime traffic accident and incident data to probabilistic modeling of collision and grounding accidents, especially their causal factors. In addition, a case study is conducted for examining the data feasibility. First, categorical Finnish accident causal data is utilized in learning a Bayesian network model from the data. The data feasibility is then evaluated based on the how well the model matches to unseen accident cases and how it performs in classification of the accidents. The results indicate that the dataset does not contain enough information for the applied of modeling approach. Finally, recommendations to improving the data or ways to cope with the uncertainty are given.
Original language | English |
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Title of host publication | Collision and grounding of ships and offshore structures |
Subtitle of host publication | Proceedings of the 6th International Conference |
Editors | Jorgen Amdahl, Sören Ehlers, Bernt Johan Leira |
Place of Publication | Boca Raton |
Publisher | CRC Press |
Pages | 1-8 |
ISBN (Print) | 978-1-315-88489-9 |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | 6th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2013 - Trondheim, Norway Duration: 17 Jun 2013 → 19 Jun 2013 |
Conference
Conference | 6th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2013 |
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Country/Territory | Norway |
City | Trondheim |
Period | 17/06/13 → 19/06/13 |