Fuzzy Control Car-Following Model with the Consideration of Driving Style

Abstract:

In view of the traditional fuzzy control car-following model, the difference of driving style was less considered, and the effective verification of real data was lack. Based on the fuzzy control theory, the dynamic driving decision-making process adopted by the driver in the following process was simulated, and different driving styles were considered. Based on the analysis of the natural driving data, different driving styles were analyzed by use of the measured data, and the desired time headway parameters of each driving style were obtained. On this basis, the distance error and speed difference between the front and rear cars were used as independent variables, and the fuzzy control rules were established. The numerical analysis results show that the proposed model fits well with natural driving data.