摘要
针对城市交通流随机、时变和非线性的特点,在基于通行需求度的单交叉口模糊控制算法的基础上,提出多策略模糊控制算法,并用基于GA的异步序列迭代法进行了优化.仿真结果表明,多策略模糊控制算法的适应能力更强,稳定性更好.
Aiming at the random, time-varying and non-linear characteristics of city traffic flow, and based on the pass through need degree-based isolated intersection fuzzy control algorithm^[5], we propose a multi-strategy fuzzy control algorithm, and then optimize it by using GA-based asynchronous sequential iterative optimizing method. The simulation result shows that the multi-strategy fuzzy control algorithm has more strong self-adaptive competence and more stable performance.
出处
《数学的实践与认识》
CSCD
北大核心
2008年第7期76-83,共8页
Mathematics in Practice and Theory
基金
西北工业大学人文社科与官理振兴基金(RW200725)
西北工业大学教师科研启动基金
关键词
单交叉口
多策略
模糊控制
遗传算法
异步序列迭代法
isolated intersectionl multi-strategy
fuzzy control
genetic algorithm
asynchronous sequential iterative optimizing method
