改进Agent的交通流混合建模与仿真

Traffic Flow Modeling and Simulation Hybrid Method Based on Improved Agent

为了更好地模拟分析交通特性,实现智能交通运营管理,提出了一种结合智能体理论和元胞自动机理论的改进混合交通流建模仿真方法,在智能体模型决策控制器中引入了元胞自动机并行计算规则,以克服传统多智能体理论在解决实际应用问题时,系统仿真效率较低的不足.最后通过数值模拟表明:该混合交通建模方法可以有效地模拟交通流现象,提高了仿真效率.

An improved modeling hybrid method based on agent and cellular automata theory is proposed to simulate traffic properties and realize the intelligent traffic management.The cellular automata parallel calculation rules are introduced into decision controller of the multi-agent model in order to overcome the low efficiency problem of traditional multi-agent in solving practical theory.Finally,results show the method can simulate traffic flow phenomena effectively and ensure the precision.