Dashcam video footage-based analysis of microsleep-related behaviors in truck collisions attributed to falling asleep at the wheel

Kumagai, Hajime; Kawaguchi, Ken Ichi; Sawatari, Hiroyuki; Kiyohara, Yuka; Hayashi, Mitsuo; Shiomi, Toshiaki

doi:10.1016/j.aap.2023.107070

Cited by 5 publications

(3 citation statements)

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“…However, during long-distance or extended-time driving, TC-MRBs occur when the truck drivers experience microsleep episodes lasting a few minutes or even seconds. Moreover, TC-MRBs have also been shown to surge just a few seconds before collisions 23 . Previous studies also reported that ESS alone may not be a suitable tool for detecting MVAs 31 .…”

Section: Discussionmentioning

confidence: 99%

“…The dashcam video footage was recorded from the inside and outside of the truck to confirm the behavior of both the truck driver and the other vehicle’s driver. In the video footage, if the professional truck driver closed their eyes or had an absence of body movements (indicating a microsleep) for one second or more just before the collision, they were classified as being involved in a TC-MRB 23 . Using the dashcam video footage, we also assessed abnormal vehicle behavior such as inappropriate line crossing (i.e., steering of the truck over the straight or curved lines followed by recovery) that indicated the onset of a microsleep and this was regarded as having a microsleep.…”

Section: Methodsmentioning

confidence: 99%

“…The current methods for assessing the occurrence of falling asleep at the wheel are limited as they rely on self-reported sleepiness to distinguish truck collisions attributed to falling asleep at the wheel from other types of truck collisions, such as those caused by looking aside while driving. However, our previous study, which analyzed truck collisions based on behavioral assessments using dashcam video footage, showed that truck collisions by professional truck drivers were due to microsleep episodes at the wheel, indicating that early diagnosis of microsleep with behavioral assessments is crucial in preventing truck collisions attributed to falling asleep at the wheel 23 .…”

Section: Introductionmentioning

confidence: 99%

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Risk factors for collisions attributed to microsleep-related behaviors while driving in professional truck drivers

Sawatari,

Kumagai,

Kawaguchi

et al. 2024

Sci Rep

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Sleep-disordered breathing (SDB) is prevalent among professional drivers. Although SDB is a known risk factor for truck collisions attributed to microsleep-related behaviors at the wheel (TC-MRBs), the usefulness of overnight pulse oximetry for predicting TC-MRBs is debatable. This retrospective study assessed the association between overnight pulse oximetry parameters, the Epworth Sleepiness Scale (ESS), and TC-MRBs, confirmed by dashcam footage. This study included 108 matched professional truck drivers (TC-MRBs: N = 54; non-TC-MRBs: N = 54), with a mean age and body mass index of 41.9 ± 11.3 years and 23.0 ± 3.7 kg/m2, respectively. Night-time drivers, 4% oxygen desaturation index (ODI), and nadir oxygen saturation (SpO2) were associated with TC-MRBs (odds ratio [95% confidence interval]: 25.63 [5.88–111.77], p < 0.0001; 2.74 [1.02–7.33], p = 0.045; and 3.87 [1.04–14.39], p = 0.04, respectively). The area under the curve of 4% ODI and nadir SpO2 for TC-MRBs were 0.50 and 0.57, respectively. In conclusion, night-time driving, 4% ODI, and nadir SpO2 were significantly associated with TC-MRBs in professional truck drivers. However, the sensitivity of overnight pulse oximetry parameters to predict TC-MRBs in a real-world application was poor. Therefore, combining subjective and objective assessments such as dashcam video footage may be needed to achieve high accuracy for predicting TC-MRBs among professional truck drivers.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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