Driving Comfort Assessment Model Construction Based on Fuzzy Inference

During the developing of auto industry, research on driving posture comfort has been the hot pursue in Computer Aided Auto Ergonomics Design (CAAED) realm, and static driving comfort angle is the kernel point of the whole problem. Traditional static comfort assessment only built models from auto driving space to comfort result. To converse it is difficult because the uncertain meaning of "COMFORT". This paper solves the problem by using "Mamdani" fuzzy logic to emulate the comfort assessment. Using this method, we could build fuzzy logic model between design parameters and comfort assessment, and feed the comfort result back to the design phase. Also, we emulate the algorithm in Matlab Fuzzy Toolkit, and develop a Computer Aided Auto Design prototype.