摘要
通过对城市单交叉路口进行交通流分析,提出以车辆平均延误为性能指标的4相位交通信号控制模型,并将改进的遗传算法应用于此模型。在Matlab 7.0环境下对实际交叉路口中较为复杂的4相位控制方式下轻度、中度和重度交通流模式进行仿真。结果表明,该方案优于普通的遗传算法和传统的定时控制。
By analyzing the traffic flow of urban intersection,a four-phase traffic signal control model,taking the average traffic delay as the performance index,was proposed,and an improved genetic algorithm was applied to this model.Matlab 7.0 simulation was made on slight traffic flow model,medium traffic flow model and severe traffic flow model,which are all under the comparatively complicated four-phase control in actual intersection.The result shows that the improved genetic algorithm outgoes the simple genetic...
出处
《实验室研究与探索》
CAS
北大核心
2010年第1期16-18,100,共4页
Research and Exploration In Laboratory
基金
上海高校选拔培养优秀青年教师科研专项基金资助项目(科07-43)
关键词
协调
交通信号控制
遗传算法
coordination
traffic signal control
genetic algorithm
