A two-lane mixed traffic flow model with drivers' intention to change lane based on cellular automata

Aiming at the shortcomings of the classic NaSch model and the two-lane lane change model (STCA), the viaduct was used as the simulation object on the basis of improving the rules and lane changing rules. Under the open boundary condition, a two-lane mixed traffic flow model considering the intention to enter the lane is established. Aim at the willingness of driver to enter lane research, this model puts forward the vehicle enter rules, which take into account the relevant factors that affect driver's intention to enter the road and quantify the influencing factors through the method of average input rate in queuing theory. Computer numerical simulation shows that the average input rate lambda is determined by input rate lambda and output rate mu, and is affected by the sensitivity parameter beta, and is not greater than mu. The passing state of a road vehicle is determined by the output rate mu and is affected by beta. At the same time, compared with the model that ignores the driver's intention to enter the road, the model proposed in this paper is closer to the actual traffic situation.