Driving risk status prediction using Bayesian networks and logistic regression

IET Intelligent Transport Systems(2017)

引用 28|浏览14
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摘要
The ability to identify driving risk status plays an important role for reducing the number of traffic accidents. Bayesian networks (BNs) was applied to extract the main factors that significantly influence driving risk status. Five factors (driver state, sex, experience, vehicle state, and environment) were selected and considered to significantly influence driving risk status based on driving si...
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关键词
belief networks,regression analysis,traffic engineering computing
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