摘要
分级模糊控制能有效减少模糊规则数,易于提取模糊规则,适于交通状况复杂的城市交通信号控制,但难以由人工合理定义全部模糊隶属度函数.采用遗传算法对2级模糊控制器中模糊隶属度函数进行优化,对1个4相位单交叉口进行了多次仿真.仿真结果表明,该方法能有效降低通行车辆在交叉口的平均等待时间,明显优于传统控制方法.
Two-stage fuzzy controller,which is easy to acquire fuzzy rules and can greatly decrease the number of fuzzy rules,is very suitable to complex urban intersection control.But it still presents a difficulty for deciding all the membership functions correctly only by human experience.There for,to solve this problem, a technique using genetic algorithm to modify its fuzzy membership functions is proposed.For a single urban intersection with four-phase,much simulation is processed.Simulation result shows that th...
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2009年第1期19-24,共6页
Journal of Beijing University of Technology
基金
北京工业大学交通工程重点实验室资助项目(KP0201200380)
北京工业大学青年基金资助项目(JQ0201200370).
关键词
单交叉口
两级模糊控制
遗传算法
single intersection
two-stage fuzzy control
genetic algorithm
