Bayesian networks for maritime traffic accident prevention: Benefits and challenges

Maria Hänninen

Research output: Contribution to journal › Article › Scientific › peer-review

145 Citations (Scopus)

Original language	English
Pages (from-to)	305312
Journal	ACCIDENT ANALYSIS AND PREVENTION
Issue number	73
DOIs	https://doi.org/10.1016/j.aap.2014.09.017
Publication status	Published - 2014
MoE publication type	A1 Journal article-refereed

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{d100a8e546ff4f06adbb2f1c6f147a23,

title = "Bayesian networks for maritime traffic accident prevention: Benefits and challenges",

author = "Maria H{\"a}nninen",

year = "2014",

doi = "10.1016/j.aap.2014.09.017",

language = "English",

pages = "305312",

journal = "ACCIDENT ANALYSIS AND PREVENTION",

issn = "0001-4575",

publisher = "Elsevier",

number = "73",

}