Neural network model for truck driver fatigue accident detection

Truck accidents account for a disproportionately high number of deaths and personal injuries on the highway network. Driver fatigue is perceived to be a major cause of these accidents. However, the presence of fatigue as documented in truck accident police reports does not support the commonly held perception that it is a problem. Either fatigue is not as much of a problem as perceived, or more likely, police accident reports significantly underestimate the involvement of driver fatigue in truck accidents. A neural network (NN) model provides a comprehensive method for identifying presence of fatigue in truck accidents from supplementary information in police report. A NN model is proposed to classify truck accident into fatigue and nonfatigue related. The model was able to learn the required function efficiently and a very high performance was observed