An integrated methodology for real-time driving risk status prediction using naturalistic driving data

Qiangqiang Shangguan,Ting Fu,Junhua Wang,Tianyang Luo,Shou'en Fang

Accident Analysis & Prevention（2021）

引用 30|浏览6

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摘要

•An integrated methodology is proposed to predict real-time driving risk status.•Features are extracted using rolling time window approach.•Key features are identified from recursive feature elimination.•Multi-layer perceptron achieves a higher prediction accuracy.

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关键词

Driving risk status prediction,Rolling time window approach,Naturalistic driving data,Car-following events,Machine learning algorithms

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