Abstract
This paper is concerned with the development of a car-following model for traffic simulation. A new approach to emulate the driver's decision making mechanism is proposed. This approach uses the powerful techniques of fuzzy reasoning to deal with uncertainty and to smoothly blend behaviors induced by simultaneous goals, while being aware of the long history of equation based modeling. Moreover, an original algorithm is implemented in this system to imitate the driver's self-learning from his on-road driving experience and to mimic his maneuvers over the brake and the accelerator pedals which reflect his approximation of the appropriate acceleration for the actual situation.
