Sleepy driving on the real road and in the simulator—A comparison

Hallvig, David; Anund, Anna; Fors, Carina; Kecklund, Göran; Karlsson, Johan; Wahde, Mattias; Åkerstedt, Torbjörn

doi:10.1016/j.aap.2012.09.033

Cited by 131 publications

(80 citation statements)

References 35 publications

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“…A common approach when studying driver sleepiness is to use sleep deprived drivers [18][19][20]. Usually, the drivers are in an alert condition during daytime and in a sleep deprived condition during night-time.…”

Section: Introductionmentioning

confidence: 99%

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

Anund

Fors

Ahlström

2017

Eur. Transp. Res. Rev.

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Introduction The overall aim of this study is to compare daytime driving with night-time driving looking at line crossings during self-reported sleepiness and long blinks. The hypothesis is that high levels of self-reported sleepiness (KSS 9) and long blink duration (>0.15 s) will be less associated with critical events during the day-time compared to night-time. Method The study is based on data from a driving simulator experiment with 16 participants driving 150 km on a typical Swedish motorway scenario twice: once during daytime and once during night time. In total data from 6 segments of 4 km each equally distributed along the drive was averaged and included in the analysis. A Mixed Model Anova was used to test the effects on KSS, Blink Duration and Line Crossings with factors for Session (Day/Night) and Road segment (1-6), and participant as random. In addition, a logistic regression was used to identify when there is a risk for line crossings. Finally, the proportion of line crossings in relation to high KSS values and long blink durations was tested with Fisher's exact test. Results The results show no differences in the percentage of Line Crossings to the left during high levels of Karolinska Sleepiness Scale during daytime (33%) compare to night-time (40%). However, there was a significant difference between day and night time line crossings while the driver had long duration blinks (4% during daytime and 35% during night-time). Despite these results the most promising predictor of line crossings in each segment of 4 km/h was KSS with an Odds Ratio of 5.4 with a reference value at Karolinska Sleepiness Scale level 5. Conclusion In conclusion, the results do not support the hypothesis that high levels of KSS will result in more frequent line crossings at night time compared to day time. However, the result supports the hypothesis that long blink durations are associated with more line crossings when they appear during night time than during daytime.

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Section: Introductionmentioning

confidence: 99%

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

Anund

Fors

Ahlström

2017

Eur. Transp. Res. Rev.

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“…Reflecting this, the majority of driver sleepiness research has 6 been targeted at understanding and mitigating SR incidents during motorway driving (e.g. Philip Hallvig et al 2013). However, self-reported experience by drivers of SR 8 driving incidents suggest that approximately 25% of SR incidents occur on roads with a speed limit of 9 ≤ 50km/h (31mph), with a further 30% occurring on roads with speed limits between 50 and 80km/h 10 (31-50mph) (Armstrong et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Sleep-related vehicle crashes on low speed roads

Filtness

Armstrong

Watson

et al. 2017

Accident Analysis & Prevention

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“…These data advance knowledge in how to avoid falling asleep at the wheel in the future. Controlled on-road studies are also particularly well suited to validate simulator results, as for example done by Hallvig et al (2013), again in the area of sleepy driving, who concluded that the relative validity of simulators was acceptable for a number of different variables, but that absolute values differed.…”

Section: Impact Of On-road Studiesmentioning

confidence: 99%

Vehicle-based studies of driving in the real world: The hard truth?

Carsten

Kircher

Jamson

2013

Accident Analysis & Prevention

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Real-world studies of driving behaviour and safety have face validity and have the distinct advantage of focussing on driving in its natural habitat. But their very naturalism can lead to problems with confounds and with noise in the data. This paper reviews the three major categories of on-road studies -controlled observation studies, field operational tests and naturalistic driving studiesand discusses the major applications of each study type. It also assesses some of the methodological issues that arise in one or more category of study.

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Sleepy driving on the real road and in the simulator—A comparison

Cited by 131 publications

References 35 publications

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

Sleep-related vehicle crashes on low speed roads

Vehicle-based studies of driving in the real world: The hard truth?

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