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交通控制信号优化模型的仿真研究 预览 被引量:5

Study and Simulation on Traffic Signal Optimization Control Model of Intersection
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摘要 研究交叉路口车流量数据采集和统计分析,针对交通系统缺乏精确数学模型的问题,为了提高控制效果,提出了多相位交通信号绿灯配时的模糊控制方法和进化算法的递阶模糊控制器的优化控制。构建了相应的模糊控制规则和控制器,使用进化算法对模糊控制器所作出的决策进行动态调整。控制过程对采用以车辆平均延误为目标函数,在模糊控制器做出判决的基础上,对控制规则的调整量进行了全局寻优,加快了收敛速度。通过对一个四相位交叉口进行仿真,结果表明控制效果有明显的改善。 In this paper,a hierarchical fuzzy logic traffic controller is constructed for a real intersection of fourteen vehicle lanes and two pedestrian crossings controlled by signals with seven light phases.The hierarchical fuzzy controller has seven inputs as queue lengths of the seven light phases,and one output as green time of the selected phase.In the hierarchical fuzzy controller,there are six layers of fuzzy sub-controllers with two inputs and one output.The sub-controllers in the first five layers have identical structure with two inputs of queue lengths and one output of combined queue length employed as one input of next layer.The sub-controller in the last layer has two inputs,combined queue length obtained from the fifth layer and queue length of the selected phase,and one output as green time of the selected phase.Using the developed fuzzy controller,the best fuzzy rule base is obtained based on real traffic data of the intersection by employing evolutionary algorithm.The performance of this controller is simulated and compared with that of a controller that is currently being employed in the intersection.The results show that the developed fuzzy controller shortens vehicle waiting time by more than 38%.
作者 王静波 WANG Jing-bo(Hebei Polytechnic University,Tangshan Hebei 063009,China)
机构地区 河北理工大学
出处 《计算机仿真》 CSCD 北大核心 2011年第4期 353-357,共5页 Computer Simulation
关键词 交通信号优化 模糊控制器 进化算法 Traffic signal optimization Saturation Fuzzy controller Evolutionary algorithm
作者简介 王静波(1974-),女(汉族),河北唐山人,河北理工大学计算机与自动控制学院讲师,硕士。研究方向为电子技术、自动化技术。
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