Development of Decision Support System Via Ergonomics Approach for Driving Fatigue Detection

Driving operation has become more important nowadays as this method becomes practical, Faster, and cheaper to move humans from one location to another. However, driving activity can cause a human being to suffer tragedy or death in everyday life as they get exhausted while driving. Driver fatigue is a major contributing factor in road crashes. This paper's primary aim was to develop a decision support system (DSS) for the monitoring of driving fatigue. The decision support system seeks to provide systematic analysis and approaches to minimize the risk associated with driving exhaustion and the number of accidents involved. Four major stages involved as the cornerstone in the development of decision support system; knowledge acquisition, knowledge integration, development of driving fatigue strain index using fuzzy logic membership function, development of the fatigue driving decision support system (DSSfDF) model using the graphical user interface. The decision support system is an essential program for evaluating the risk factors which would significantly contribute to driving fatigue associated with driving activity. Furthermore, the decision support system offers users solutions and recommendations to minimize the number of road accidents in Malaysia.