Effects of Multi-class Driving Behavior on Fundamental Diagram in One-Dimensional Cellular Automata Traffic Simulation

Complex traffic system seems to be simulated successfully by cellular automaton (CA) models. Various models are developed to understand single-lane traffic, multilane traffic, lane-changing behavior and network traffic situations. In this study, the fundamental diagram, which is the relationship among speed, density and flow, is simulated by CA under multi-class user traffic conditions. Acceleration rule, slow down possibility and maximal speed are main effects, which determine driving behavior. According to the results, neither the mixture of the speed-density nor flow-density relationship of multi-class traffic is the linear combination of users involving in the traffic flow. The performance of the mixture models may not be worse than single-user model. Therefore, understanding multi-class users traffic had better to simulate it directly instead of estimating it by using the combination of each user.