Title | ||
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Toward Safer Highways: Predicting Driver Stress in Varying Conditions on Habitual Routes |
Abstract | ||
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Driver stress is a growing problem in the transportation industry. It causes a deterioration of cognitive skills, resulting in poor driving and an increase in the likelihood of traffic accidents. Prediction models allow us to avoid or at least minimize the negative consequences of stress. In this article, an algorithm based on deep learning is proposed to predict driver stress. This type of algori... |
Year | DOI | Venue |
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2017 | 10.1109/MVT.2017.2692059 | IEEE Vehicular Technology Magazine |
Keywords | DocType | Volume |
Prediction algorithms,Stress measurement,Heart rate variability,Acceleration,Vehicle safety,Human factors | Journal | 12 |
Issue | ISSN | Citations |
4 | 1556-6072 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Victor Corcoba Magaña | 1 | 29 | 5.44 |
Mario Munoz-Organero | 2 | 73 | 11.70 |