Driving anger and traffic violations: Gender differences

González-Iglesias, Beatriz; Fraguela, José Antonio Gómez; Martín, María Ángeles Luengo

doi:10.1016/j.trf.2012.03.002

Cited by 193 publications

(82 citation statements)

References 40 publications

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“…This finding were supported by [6,13,14] whereby number of fines and accident were greater among male drivers and higher tendency to traffic violations. It seems possible that this result is due to dangerous driving behaviour are highest in males [15,16].…”

Section: Discussionmentioning

confidence: 58%

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Differences of Driving Experience and Gender on Traffic Offences Among Malaysian Motorists

Liew¹,

Hamidun²,

Soid³

2017

MATEC Web Conf.

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Abstract. This study attempt to examine the influence of driving experience and gender on different traffic offences. Questionnaire survey was conducted to measure the frequency of committing eleven types of traffic. Data collected were analysed using t-test and Chi-square. Results indicate that male drivers have high score in speeding, red light running, tailgating and using emergency lane. Significant differences emerged between driving experiences in speeding, red light running, dangerously cutting into traffic, using hand phone while driving/riding and driving/riding with noncompliance specification vehicle.

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Section: Discussionmentioning

confidence: 58%

“…The offence of speeding have found to be associated with driver impulsivity [5]. Traffic offences somehow related to the expression of driving anger [6].…”

Section: Introductionmentioning

confidence: 99%

Differences of Driving Experience and Gender on Traffic Offences Among Malaysian Motorists

Liew¹,

Hamidun²,

Soid³

2017

MATEC Web Conf.

View full text Add to dashboard Cite

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“…So four typical signals (including BVP, SC, %, and % described by Wan et al [27]) from physiological states and brain states were selected to verify the effectiveness of the designed experiment. The significant differences of these four indexes between different simulating scenarios were also analyzed in this study as shown in Figures 7,8,and 9. As shown in Figure 6, the drivers' BVP has a significant volatility in the three induced scenarios; it is more sensitive in the scenario of encountering the red light frequently (B * ) compared with the other two induced scenarios. In addition, the maximum of the driver's BVP also happened in scenario (ii) (B * ), which is close to 58 bm.…”

Section: Physiological Index Analysismentioning

confidence: 99%

“…As described in previous studies [9,25], the developed scenarios are presented in Figure 4, and the design parameters of three typical scenarios are showed as follows.…”

Section: The Driving Anger Induced Scenariosmentioning

confidence: 99%

“…Using this scale in the United States, Deffenbacher and his colleagues showed that drivers who score high on the DAS are more likely to become angry, engaging in more risky and aggressive behaviors, and are more often involved in accidents than those who score low [7,8]. For exhaustive study, due to the fact that different drivers with the similar level of anger could express their driving anger with different behaviors, it is also necessary to analyze how this emotion emerged [9]. One of the questionnaires that have been created to explain this aspect is the Driving Anger Expression Scale (DAES) [10].…”

Section: Introductionmentioning

confidence: 99%

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The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals

Yan

Park

Qin

et al. 2018

Discrete Dynamics in Nature and Society

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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, %, and %) 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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Gender Characteristics of Psychological Well-Being and Control Locus of Future Transport Professionals

Cerfus

Karagacheva

2022

International Scientific Siberian Transport Forum TransSiberia - 2021

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Driving anger and traffic violations: Gender differences

Cited by 193 publications

References 40 publications

Differences of Driving Experience and Gender on Traffic Offences Among Malaysian Motorists

Differences of Driving Experience and Gender on Traffic Offences Among Malaysian Motorists

The Induction and Detection Method of Angry Driving: Evidences from EEG and Physiological Signals

Gender Characteristics of Psychological Well-Being and Control Locus of Future Transport Professionals

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