Skip to Main Content
This paper deals with the problem of a human behavior based Microscopic Traffic Model. In this work, a fuzzified two point model is implemented for modeling the low level control behavior and a Fuzzy Multi Criteria Decision Making is implemented for modeling the high level control actions of the driver. As a result, different influential parameters such as the driver's age, mood, sex, etc. may be easily implemented in to the model and therefore guarantee a more natural outcome. This model can be used in automatically guided vehicles as a reference for natural driver behavior of individuals. The simulation results illustrate and verify the validity of the model.