12.07.2015 Views

Vehicle control and drowsiness - VTI

Vehicle control and drowsiness - VTI

Vehicle control and drowsiness - VTI

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109Tiredness876Predicted YTiredAlert5430,1 0,2 0,3 0,4 0,5 0,6 0,7mean SDLPFigure 28 Regression plot for both alert <strong>and</strong> tired drivers without the extremesubjects.Conclusion:There is a relationship between increasing <strong>drowsiness</strong>, as measures by the KSSmethod, <strong>and</strong> increasing SDLP for both the group of tired drivers <strong>and</strong> the group ofalert drivers. The variation in SDLP for the group of tired drivers is smaller whenthe two extreme subjects are eliminated from the data. The <strong>drowsiness</strong> rating forthe tired drivers starts <strong>and</strong> ends at higher levels than for the alert drivers (seefigure 20).With the SAVE data from <strong>VTI</strong>, it was possible to make a similar regressionanalysis of the alertness versus the SDLP. However, in the SAVE study; only thetest leader rated the <strong>drowsiness</strong> of the subjects during the drive on a six-gradedscale. The subjects did not rate their own <strong>drowsiness</strong> while driving as in the”Hök” study. The analysis showed that there is a possible relationship betweendecreasing alertness <strong>and</strong> increasing SDLP. But the results had a low correlation(R=0.7). Probably because half of the driving sessions in the SAVE experimentdata were incomplete. Because of the incomplete data sets no conclusions can bedrawn, except that there are tendencies towards the same results as the analysismade on the data from the ”Hök” study a relationship between increasing<strong>drowsiness</strong> <strong>and</strong> increasing SDLP.<strong>VTI</strong> meddel<strong>and</strong>e 922A 57

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