An on-road study to investigate fatigue in local/short haul trucking.
ABSTRACT As a precursor to the present research, Hanowski et al. [FHWA Report no. FHWA-MC-98-029. Office of Motor Carriers, Federal Highway Administration, Washington, DC, 1998] conducted a series of focus groups in which local/short haul (L/SH) drivers provided their perspective on safety issues, including fatigue, in their industry. As a follow-up to the Hanowski et al. work, the effort presented here consisted of an on-road field study where in-service L/SH trucks were instrumented with data collection equipment. Two L/SH trucking companies and 42 L/SH drivers participated in this research. The analyses focused on determining if fatigue is an issue in L/SH operations. Of primary interest were critical incidents (near-crashes) where L/SH drivers were judged to be at fault. The results of the analyses indicated that fatigue was present immediately prior to driver involvement in at-fault critical incidents. Though it is difficult to determine with certainty why fatigue was present, the results suggest that drivers' off-hours behavior likely played a significant role in the fatigue experienced on the job. Another key finding of this research is that a small percentage of drivers were responsible for a majority of the critical incidents. This finding suggests that driver selection and monitoring could potentially improve safety in L/SH operations.
- The Twelfth COTA International Conference of Transportation Professionals; 07/2012
- Safety Science 08/2013; 57:203-213. · 1.67 Impact Factor
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ABSTRACT: Only limited information is available on how driving performance relates to physiological and subjective sleepiness indicators on real roads. The present study investigated the relation between such indicators and lane departures during night driving. 33 volunteers drove for 90 minutes on a two-lane, 9 m wide rural road during the afternoon and night in an instrumented car, while electroencephalography and electrooculography and lane departures (line crossings) were recorded continuously and subjective ratings of sleepiness were made every 5 minutes (Karolinska Sleepiness Scale - KSS). Data was analyzed using Bayesian multilevel modeling. The results showed that unintentional lane departures increased during night driving, as did self-reported sleepiness and long blink durations. Lateral position moved to the left of the lane. Lane departures were predicted by self-reported sleepiness and blink duration in the longitudinal analysis across time. Lane departures were also significantly higher in individuals with high sleepiness. Most lane departures occurred at levels 8 and 9 on the KSS scale. It was also demonstrated that removal of intentional lane departures, including shortcutting through curves enhanced the relation between self-reported sleepiness and lane departures. It was concluded that lane departures, eye blink duration and subjective sleepiness are strongly increased during night driving and that subjective sleepiness is a sensitive predictor of lane departures.Biological Psychology 09/2014; · 3.47 Impact Factor