【作者】 楚永宾； 唐振； 刘小平； 卫星； 张利；

【Author】 Chu Yongbin1 Tang Zhen1 Liu Xiaoping2,4 Wei Xing2.4 Zhang Li3,4 1 School of Electrical Engineering and Automation,HFUT,Hefei,230009,China 2 School of Computer and Information,HFUT,Hefei,230009,China 3 School of Machinery and Automobile Engineering,HFUT,Hefei,230009,China 4 Engineering Research Center of Safety-critical Industry Measure and Control Technology of Ministry of Education,Hefei,230009,China

【机构】 合肥工业大学电气与自动化工程学院； 合肥工业大学计算机与信息学院； 安全关键工业测控技术教育部工程研究中心； 合肥工业大学机械与汽车工程学院；

【摘要】 针对传统的单点交通信号控制方法时效性不强、运算量大等缺陷,提出了一种基于自适应遗传算法的单点交通信号控制方法。首先构建了实际单交叉路口的数学模型,在此模型的基础上采用自适应遗传算法进行优化,并对该方法的有效性进行了仿真验证。结果表明,相对于固定配时方案和传统的遗传算法配时方案,该方法有效的提高了控制效果和时效性。更多还原

【Abstract】 Aim at the large amount of computation,timeliness is not strong and such defects which traditional method of a single intersection traffic signal control has,a genetic algorithm based adaptive single intersection traffic signal control methods is proposed.First,we build the actual single intersection of the mathematical model,adopt AGA to optimize average delay time based on it,and then we verify the effectiveness of the method through simulation.The results show that when compared to fixed timing scheme and the traditional genetic algorithm timing scheme,this method is effective for improving the control performance and effectiveness.更多还原