Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies
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Causal reasoning is useful in many AIoT applications such as online recommendation in smart e-learning [226], fault analysis in smart grids [230], and driving safety in smart transportation [231].
“Causal reasoning is useful in many AIoT applications such as online recommendation in smart e-learning [226], fault analysis in smart grids [230], and driving safety in smart transportation [231].”
From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [231]
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The risks of using ChatGPT to obtain common safety-related information and advice
Oviedo-Trespalacios, O., Peden, A. E., Cole-Hunter, T., Costantini, A., Haghani, M., Rod, J. E., Kelly, S., Torkamaan, H., Tariq, A., David Albert Newton, J., et al. (2023) · Safety Science · doi:10.1016/j.ssci.2023.106244 · Cited by 148 · see citing works
The Impact of Sleep Disruption on Complex Cognitive Tasks: A Meta-Analysis
Wickens, C. D., Hutchins, S. D., Laux, L., & Sebok, A. (2015) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720815571935 · Cited by 133 · see citing works
Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance
Aidman, E., Chadunow, C., Johnson, K., & Reece, J. (2015) · Accident Analysis & Prevention · doi:10.1016/j.aap.2015.03.041 · Cited by 92 · see citing works
“In the driving context this leads to observable changes in driver performance such as reduced capacity to maintain speed, distance between vehicles and lanekeeping (May and Baldwin, 2009), all of which increase the risk of road accidents (Adell et al.”
Background
- Authors
- May, J. F., & Baldwin, C. L.
- Affiliations
- Old Dominion University (US)
- Corresponding author
- May, Jennifer F.
- ORCID
- Baldwin, Carryl L.
- Venue
- Transportation Research Part F: Traffic Psychology and Behaviour
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 12
- Issue
- 3
- Pages
- 218-224
- ISSN
- 1369-8478 (ISSN-L)
- OpenAlex
- W2140336646
- Cited by
- 466
- References
- 0
- Citations by year
- 2026: 34 · 2025: 33 · 2024: 44 · 2023: 43 · 2022: 28 · 2021: 43 · 2020: 35 · 2019: 27 · 2018: 39 · 2017: 38 · 2016: 24 · 2015: 22 · 2014: 14 · 2013: 12 · 2012: 8
- FWCI
- 11.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part F Traffic Psychology and Behaviour (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Keywords
- driver fatigue, fatigue countermeasures, sleep debt, circadian rhythm, mental workload, accident risk reduction, driver state
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