Development of a Three-Input Two-Output Model Using Fuzzy Logic Toolbox

A three-input two-output fuzzy logic model has been developed using MATLAB's Fuzzy Logic Toolbox, designed to identify vehicle acceleration intent and road slope conditions. The model can be executed simply by entering "fuzzy idi" in the MATLAB command window, which launches the Fuzzy Inference System (FIS) editor for configuration and simulation. This model implementation utilizes fuzzy rule-based systems with membership functions to handle uncertain parameters, employing defuzzification methods like centroid calculation for crisp output generation. The straightforward operation facilitates better understanding and prediction of vehicle behavior, enabling more accurate intent recognition to enhance driving safety and comfort. The system's architecture typically includes input variables such as throttle position, vehicle speed, and acceleration rate, processed through IF-THEN rules to produce outputs for acceleration intent classification and slope estimation. Additionally, this model serves as a valuable tool for research in vehicle dynamics analysis and traffic planning applications. The practical implementation demonstrates significant application value in automotive engineering and transportation sectors, providing a framework for intelligent vehicle control systems.