The Car-Following Model Based on the Drivers' Psychological Characteristics

In this paper, the car-following model based on drivers' psychological characteristics is proposed for developing drivers' explicit behavior decision under complicated driving environment. The nature of driving behavior in different driving mode is discussed based on the concept of decision-making system, using the drivers' psychological individuality combined with universality of vehicle kinetics. Especially, the perceived distance and expected safety distance are considered rather than the traditional space headway. The genetic algorithm and NGSIM (New Generation Simulation) data are used to calibrate parameters in car-following model. It is shown in the calibration results that the drivers have different concerns in different driving mode, and it is logical for the drivers' psychological characteristics. The effectiveness and accuracy of proposed model have been verified compared to the GM and FVD model in simulation results.