A Cellular Automaton Traffic Model Considering the Influence of Driving State on Randomization

Abstract

The cellular automaton (CA) traffic models are widely used to simulate the real traffic. Considering the influence of driving states on randomization, a cellular automaton model based on the NS model is proposed. In our new model, the randomization probability is different for different driving states, which is determined by the velocity changes after the step of deterministic deceleration. Simulation results show that the maximum flux of the new model is greater than that of the NS model, and the traffic evolution of the new model is more complex than that of the NS model.

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