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交通系统是一种非线性的、时变的、滞后的大系统,模糊控制不需要建立精确的数学模型,易于利用专家知识,适合应用在交通控制上。采用蚁群算法对传统的模糊控制器进行改进,仿真结果表明系统改进后具有较高的实用性。
Traffic system is a kind of non-linear, time-varying and lagging system. Fuzzy control does not need to establish accurate mathematical model, and it is easy to use expert knowledge and suitable for traffic control. The ant colony algorithm is used to improve the traditional fuzzy controller. The simulation results show that the improved system has high practicability.