The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals Article Swipe
Lixin Yan
,
Ping Wan
,
Lingqiao Qin
,
Dunyao Zhu
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1155/2018/3702795
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1155/2018/3702795
Introduction. Angry driving has been a significant road safety issue worldwide. This study focuses on the problem of inducing and detecting driving anger based on the simulation and on-road experiments. Methods. First, three typical scenarios (including waiting for the red light frequently, traffic congestion, and the surrounding vehicle interference) which could cause driving anger were developed and applied in a driving simulator experimental study. The self-reported, biosignals, and brain signals of driving anger data were collected from the driving anger induction experiment. Second, in order to examine the difference of driving anger between simulation driving and real-life driving, 22 groups of on-road experiments were conducted. The typical scenes and self-reported data were recorded to distinguish normal driving from angry driving. Finally, a Hidden Naïve Bayes classifier was employed to detect angry driving during the on-road driving according to the four features (namely, BVP, SC, δ %, and β %) from driver’s biosignals and brain signals. Results. The evaluation of emotional differentiation degrees and emotional intensity indicates that the developed scenarios based on virtual reality were useful and effective in inducing driving anger. Meanwhile, the proposed angry driving detection approach achieves an accuracy of 85.0%. Conclusions and Applications. Due to possible crash and injury from the on-road experiments, the proposed approach of driving anger induction using a driving simulator is effective in exploring the causal relationship between angry driving, unsafe driving behavior, and traffic accident. In addition, angry driving detection approach can provide theoretical foundation for the development of driving anger warning products.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1155/2018/3702795
- https://downloads.hindawi.com/journals/ddns/2018/3702795.pdf
- OA Status
- gold
- Cited By
- 26
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2887576844
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2887576844Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1155/2018/3702795Digital Object Identifier
- Title
-
The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological SignalsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-08-15Full publication date if available
- Authors
-
Lixin Yan, Ping Wan, Lingqiao Qin, Dunyao ZhuList of authors in order
- Landing page
-
https://doi.org/10.1155/2018/3702795Publisher landing page
- PDF URL
-
https://downloads.hindawi.com/journals/ddns/2018/3702795.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://downloads.hindawi.com/journals/ddns/2018/3702795.pdfDirect OA link when available
- Concepts
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Anger, Aggressive driving, Dangerous driving, Driving simulator, Computer science, Driving simulation, Simulation, Poison control, Psychology, Human factors and ergonomics, Social psychology, Medicine, Political science, Environmental health, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 7, 2023: 7, 2022: 4, 2021: 2Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | Discrete Dynamics in Nature and Society |
| primary_location.landing_page_url | https://doi.org/10.1155/2018/3702795 |
| publication_date | 2018-08-15 |
| publication_year | 2018 |
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