Convicted of fatigued driving: Who, why and how?

Radun, Igor; Radun, Jenni

doi:10.1016/j.aap.2009.04.024

Cited by 29 publications

(10 citation statements)

References 24 publications

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“…It should be noted that it is somewhat difficult to determine whether the results mentioned above are associated with TOD (circadian) effects [32] or with the fact that the drivers were awake for a substantially longer duration (time awake factor). A report by Williamson, et al [4] indicated the role of both factors in relating fatigue and safety.…”

Section: Discussionmentioning

confidence: 99%

An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue

Zuraida¹,

Iridiastadi²,

Sutalaksana³

et al. 2019

J. Eng. Technol. Sci.

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Fatigue during driving is the main contributing factor to road accidents. It is influenced by time on task (TOT) and time of day (TOD). Recent electroencephalogram (EEG) research on fatigue assessment has shown a promising result in explaining the fatigue phenomenon. However, different findings exist regarding the best EEG parameters related to fatigue. This study examined EEG changes according to the effect of TOT and TOD and determined the best parameters to distinguish fatigue status. To generate driver fatigue, prolonged driving in the morning and at night in a simulator was conducted. The EEG signal was collected from 28 male participants at frontal and occipital areas. The EEG power (brainwave) was determined from the first and last 5 minutes of the driving task and after a break of 30 minutes. The results of this study showed a general tendency of EEG power changing throughout the driving sessions. However, changes related to fatigue were only found for the night sessions, as confirmed by θ power and the subjective fatigue measurement result. This study showed that TOT (as a factor that induces fatigue) was explained by θ from the frontal area, whereas TOD was differentiated by α, θ, θ/β, (θ+α)/β and (θ+α)/(β+α).

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Section: Discussionmentioning

confidence: 99%

An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue

Zuraida¹,

Iridiastadi²,

Sutalaksana³

et al. 2019

J. Eng. Technol. Sci.

View full text Add to dashboard Cite

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“…Each of these subscales describes certain traits used to illustrate general aspect of workload. NASA-TLX is one of the strongest tools available for reporting perceptions of workload [7] .…”

Section: ) Nasa-tlxmentioning

confidence: 99%

Effects of prolonged truck driving on drive safety based on real road driving

Liu

Wang

et al. 2011

2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management

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To investigate the effects of prolonged monotonous daytime driving on fatigue, reaction time, workload and driving speed, a real road driving has been conducted. To objectively assess the driver's state, workload, fatigue, reaction time and speed are recorded every one hour. Data analysis is based on PASW Statistic 18.0 statistical software. Results show that prolonged daytime driving under monotonous conditions leads to severe fatigue, which, to some extent, results in the increase of driving speed. Compared to the control group, drivers feel more fatigue. The subjective workload and reaction do not vary significantly over the prolonged driving time, and the significant difference between the driving group and the control group is not defined. These findings indicate the deterioration of fatigue and driving performance occurs after approximately 3 h of continuous monotonous daytime driving. It is highly recommended that the driver should take a rest after 3 h of continuous driving.

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“…Among survivors, for example, a natural reaction is to blame others and to attribute the crash to surrounding drivers or circumstances. Even survivors of single vehicle crashes can readily attribute their incident to some idiosyncratic condition that might be entirely avoided in the future [14]. Furthermore, some survivors have a history of antisocial personality disorder, anomalous lifestyle choices, chronic substance abuse, or other potentially unappealing attributes [15].…”

Section: Biased Beliefs Among Survivorsmentioning

confidence: 99%