Feasibility of collision and grounding data for probabilistic accident modeling

Maria Hänninen, Marina Sladojevic, Santosh Tirunagari, Pentti Kujala

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

5 Citations (Scopus)

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 languageEnglish
Title of host publicationCollision and grounding of ships and offshore structures
Subtitle of host publicationProceedings of the 6th International Conference
EditorsJorgen Amdahl, Sören Ehlers, Bernt Johan Leira
Place of PublicationBoca Raton
PublisherCRC Press
Pages1-8
ISBN (Print)978-1-315-88489-9
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
Event6th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2013 - Trondheim, Norway
Duration: 17 Jun 201319 Jun 2013

Conference

Conference6th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2013
CountryNorway
CityTrondheim
Period17/06/1319/06/13

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