• 1 Universiti Teknikal Malaysia Melaka
  • 2 Kolej Universiti Islam Antarabangsa Selangor


Driving activity has become more important as this medium being practical, it is also cheaper and faster in
connecting human from one to another place. However, in some occurrence, it can cause accidents as they become
fatigued while driving. Driver fatigue is one of the top contributors to the road accidents and can be dangerous as
other road safety issues such as drink driving. Worst is, there are no laws regulating driver fatigue. Therefore, the
main purpose of this study is to develop the regression model of apsychophysical factor for drivers’ fatigue which can
predict the relationship between the process input parameters and output responses. The study was participated by
ten subjects. The heart rate was taken and recorded using heart rate monitor. Design Expert 8.0.6 software was used
for the regression analysis. The modeling validation runs werewithin the 90% prediction intervals of the developed
model and the residual errors were less than 10%. The R
value is 0.9400 whichmeans that the linear regression line
passed exactly through all points. The significant parameters that influenced the heart rate were also identified.The
parameters are time exposure, type of road, and gender.