基于数字荷尔蒙模型的信号灯配时优化的研究

Digital Hormones Model-Based Optimal Time Assignment of Traffic Signal Cycle

文中针对智能交通系统中信号灯配时问题,在已有模糊控制理论的基础上,结合了数字荷尔蒙模型(DHM),并提出了一种新的信号灯控制机制——基于DHM的模糊控制算法(FDHM)。模糊理论利用模糊规则来表示具有不确定性的数据;数字荷尔蒙模型通过它的吸引因子和抑制因子的变化和传播来获得系统全局最优的方案。文中的系统实现了运用FDHM控制信号灯的优化配时。

Aiming at the signal light timing problem in the intelligence transportation system, proposed a new signal light control mecha- nism FDHM combined digital hormone model with fuzzy control algorithm. The fuzzy theory with fuzzy rule is employed to indicate the uncertainty data. And the system＇s globally optimal solution is achevied through the digital hormone model ＇with dissemination of activator and inhibitor. FDHM is realized to cuntroll the signal light optimized timing in this paper.