This document describes a fuzzy logic control system for an automated accident prevention system in vehicles. It begins with an introduction to fuzzy logic and how it is well-suited for control applications that involve imprecise human reasoning. It then discusses fuzzy sets versus crisp sets, membership functions, fuzzification, defuzzification techniques, and provides an example of a fuzzy logic control system for braking that uses sensors to measure vehicle speed and distance to obstacles. The conclusion states that such a fuzzy logic control system can help prevent accidents by relieving driver tension.