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Determining the likelihood that fatigue was present in a road accident: A theoretical review and suggested accident taxonomy

journal contribution
posted on 01.10.2019, 00:00 by Drew DawsonDrew Dawson, Amy ReynoldsAmy Reynolds, HPA Van Dongen, Matthew ThomasMatthew Thomas
Estimates in developed countries of the extent to which fatigue contributes to road accidents ranges from as low as 5% to as high as 50% of all accidents. Compared with other causes of road accidents (e.g. speeding, drink-driving), the variability is exceptionally high and may be indicative of the difficulty in determining the likelihood of fatigue as a cause of road accidents. This review compares differences in the way road accidents are classified as fatigue-related (or not) by expert panels and road safety regulators, highlighting conflicting conceptual approaches, lack of consistency, and the poor psychometric qualities of classification rules used across jurisdictions. In order to facilitate future research, the review then proposes a new theoretical approach and a potentially more logical accident ‘taxonomy’ Finally, a putative accident ‘taxonomy’ is proposed using two dimensions: (1) estimating likelihood that a driver was fatigued at the time of the accident, and (2) estimating degree to which accident phenomenology is consistent with fatigue-related error. This ‘taxonomy’ could assist accident investigators and road safety regulators to more reliably quantify contribution of fatigue to road accidents, and may also assist researchers and regulators in the post-hoc interrogation of existing accident databases to better determine the relative incidence of fatigue-related road accidents.

History

Volume

42

Start Page

202

End Page

210

Number of Pages

9

eISSN

1532-2955

ISSN

1087-0792

Publisher

Elsevier

Additional Rights

CC BY-NC-ND 4.0

Peer Reviewed

Yes

Open Access

Yes

Acceptance Date

23/08/2018

External Author Affiliations

Washington State University, USA

Author Research Institute

Appleton Institute

Era Eligible

Yes

Journal

Sleep Medicine Reviews