Efficiency of vehicle-based data to predict lane departure arising from loss of alertness due to fatigue.

Auteur(s)
Filiatrault, D.D. Cooper, P.J. King, D.J. Siegmund, G.P. & Wong, P.K.H.
Jaar
Samenvatting

Seventeen long haul truck drivers were recruited to participate in a driver fatigue study. The study was conducted to determine if a degradation in driver performance could be detected from controlled inputs of drowsy drivers. A test protocol was developed to replicate the kind of driving environment generally regarded and often associated with single vehicle run-off-the-road type crashes. Physiological measures of drowsiness were recorded while a fully instrumented 3-axle truck-tractor was driven on a closed-circuit track. Driving sessions were conducted when test subjects were both alert and sleep deprived. Analysis and refinement of experimental data were used to develop a preliminary steering-based algorithm. steering-based algorithm. The results of the study indicate that lane departure, arising from a loss of alertness due to fatigue, may be predicted by monitoring movements of the steering wheel. (A)

Publicatie aanvragen

6 + 10 =
Los deze eenvoudige rekenoefening op en voer het resultaat in. Bijvoorbeeld: voor 1+3, voer 4 in.

Publicatie

Bibliotheeknummer
C 9063 (In: C 9037 S) /83 /91 / IRRD 893917
Uitgave

In: Proceedings of the 40th Annual Conference of the Association for the Advancement of Automotive Medicine AAAM, Vancouver, British Columbia, October 7-9, 1996, p. 363-376, 28 ref.

Onze collectie

Deze publicatie behoort tot de overige publicaties die we naast de SWOV-publicaties in onze collectie hebben.