A two-lane cellular automaton traffic flow model with the influence of driving psychology
考虑驾驶心理的城市双车道交通流元胞自动机模型

A two-lane cellular automaton model is developed to analyze the urban traffic flow with considering the influence of driving psychology. In order to show the different psychological characters of drivers when changing lane and braking, lane-changing choice probability and safety parameter are introduced. By computer simulation, the relationships among speed, density and traffic volume are given to show the influence of driving psychology on the traffic flow. The simulation results indicate that the lane-changing choice probability has little effect on the average speed, but it makes the variance of speed larger. And the safety parameter can increase the average speed and the traffic volume.