Exploring the Effectiveness of Driver Monitoring Systems on the Progression of Driver Fatigue

Driver monitoring systems (DMS) can detect early signs of driver fatigue and issue timely warnings to prompt behavior modification, which may bring about significant impacts on fatigue progression compared with the traditional non-alarm driving environment. However, past studies rarely explore the effect of DMS on driver fatigue progression. To address this gap, our study analyzes eye-tracking, electrocardiogram, and vehicle behavior data from a driving simulator. The driving environment is manipulated by providing or withholding fatigue warnings. Principal component analysis is employed to extract fatigue indicators. The results show that real-time feedback from DMS enhances fatigue management and slows its progression. The impact on driving behavior is minimal among alert drivers but becomes increasingly significant as the fatigue intensifies, particularly at moderate and severe fatigue stages. Furthermore, DMS interventions can promote safer and more responsible driving habits, such as sustained alertness and consistent throttle control.

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Publication Details

Journal
Transportation Research Record Journal of the Transportation Research Board
Published
2025-11-24
DOI
https://doi.org/10.1177/03611981251391745
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
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article

Exploring the Effectiveness of Driver Monitoring Systems on the Progression of Driver Fatigue

Xinguo Jiang, Jiayong Niu, Qiong Yu, X.L. Li et al.
Transportation Research Record Journal of the Transportation Research Board
Sleep and Work-Related Fatigue
article

Exploring the Effectiveness of Driver Monitoring Systems on the Progression of Driver Fatigue

Xinguo Jiang, Jiayong Niu, Qiong Yu, X.L. Li, Wei Bai, Eric Jiang
article en

Abstract

Driver monitoring systems (DMS) can detect early signs of driver fatigue and issue timely warnings to prompt behavior modification, which may bring about significant impacts on fatigue progression compared with the traditional non-alarm driving environment. However, past studies rarely explore the effect of DMS on driver fatigue progression. To address this gap, our study analyzes eye-tracking, electrocardiogram, and vehicle behavior data from a driving simulator. The driving environment is manipulated by providing or withholding fatigue warnings. Principal component analysis is employed to extract fatigue indicators. The results show that real-time feedback from DMS enhances fatigue management and slows its progression. The impact on driving behavior is minimal among alert drivers but becomes increasingly significant as the fatigue intensifies, particularly at moderate and severe fatigue stages. Furthermore, DMS interventions can promote safer and more responsible driving habits, such as sustained alertness and consistent throttle control.

Transportation Research Record Journal of the Transportation Research Board
United States Department of Transportation (US), Shanghai Police College (CN), Henan Polytechnic University (CN), Southwest Jiaotong University (CN), University of California, Davis (US)
Openalex Percentile: Top 62%
Sleep and Work-Related Fatigue
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Exploring the Effectiveness of Driver Monitoring Systems on the Progression of Driver Fatigue — Xinguo Jiang, Jiayong Niu, et al. · Transportation Research Record Journal of the Transportation Research Board (2025) | TGRS Research Map | TGRS