TY  - JOUR
PY  - 1996//
TI  - Efficiency of Vehicle-Based Data to Predict Lane Departure Arising From Loss of Alertness Due to Fatigue
JO  - Annual proceedings of the Association for the Advancement of Automotive Medicine
A1  - Wong, PKH
A1  - Siegmund, Gunter P.
A1  - King, D. J.
A1  - Cooper, P. J.
A1  - Filiatrault, DD
SP  - 363
EP  - 376
VL  - 40
IS  - 
N2  - 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. 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.<p />
LA  - 
SN  - 1540-0360
UR  - http://dx.doi.org/
ID  - ref1
ER  -