Driver Rating based on Interval Type-2 Fuzzy Logic System

In recent years, especially considering environmental awareness and low pollution, economical and safe driving is crucial in automotive applications. In this study, a driving rating method based on interval type-2 fuzzy logic system is proposed. Aggressive and normal driving behaviors are considered. Then, the driving behaviors are analyzed and compared in terms of engine speed, acceleration, accelerator pedal position, engaged gears, and fuel consumption values. The simulation studies indicate that the proposed driving rating method is efficient in rating aggressive and normal driving behaviors. In addition, driving behavior impact on fuel consumption is analyzed.