摘要
根据城市交通流的特性建立了平面交叉口的细胞传输模型,在此模型的基础上以交叉口最小延误为目标函数,以周期和相位时间为优化变量,用遗传算法对优化目标进行优化得到配时方案,最后通过仿真并与传统优化方法比较,结果显示优化后排队车辆数和总延误时间减少,表明该优化算法提供了比传统的控制方法更合理的配时方案,对城市交叉口控制比较有效。
In accordance with the feature of the urban traffic flow,the cell transmission model of intersection was established.Based on this model,taken the minimum delay in the intersection as an object function,the period and time phase as optimization variables,parameter optimization in CTM was done with the genetic algorithm to obtain the timing scheme.The simulation result was compared with result of traditional method which shows that this method can effectively decrease the queue of waiting cars and the whole delay in the intersection.The timing scheme provided by this optimization is superior to a traditional control method in the control of urban intersection.
出处
《公路交通科技》
CAS
CSCD
北大核心
2009年第S1期155-158,共4页
Journal of Highway and Transportation Research and Development
