Fatigue driving detecting model based on momentum indices and neural-fuzzy approach

Driver fatigue is recognized as an important factor in road accidents in worldwide. The fatigue-tracking technologies to prevent fatigue-related accidents have been widely discussed in the last decade. There is some evidence to suggest that subjective measures of fatigue do indeed correlate with performance decrements associated with fatigue. However, it is difficult to measure on-line. The study investigated the effect of tendency indices for actual driving performance measuring. A fatigue driving detecting model was proposed based on neural-fuzzy approach integrating driving performance measuring variables and tendency indices. This study has been performed using experimental data coming from 50 drivers. Results show that the model could achieve the same effect as subjective ratings.