Random noise in driving behavior based on cellular automata
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In this paper,considering different evolution behaviors in acceleration and deceleration of driving and the reinforcement learning,we propose a modified cellular automaton model in which the random acceleration behavior evolves with the driver's remembering to historic experience and the traffic condition around.Simulation results show that the proposed model can reveal the influence of driver's reinforcement learning on traffic and generate more realistic traffic phenomena.