Classifying metro drivers’ cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination

Abstract Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during manual driving. However, identifying metro drivers’ cognitive distractions faces challenges as generally no obvious behavior can be found during the distractions. To address the challenge, t...

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Bibliographic Details
Main Authors: Haiyue Liu, Yue Zhou, Chaozhe Jiang
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-92248-6
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