摘要
为实现中饱和状态下区域内交通服务效率最大,构建了以饱和度、通过量、延误时间等为目标的中饱和区域协调控制多目标模型.先建立关键交叉口的饱和度模型来优化周期,并将其作为子区的公共周期;再以子区各交叉口为单位,将交叉口的延误时间模型与通过量模型作为综合目标模型来优化各交叉口绿灯时间;最后以子区相邻交叉口为单位,以子区内相邻交叉口总延误时间作为目标函数优化相邻交叉口间的相位差.仿真结果表明,本文提出的算法是用于中饱和状态下区域协调控制的有效方法,具有一定的适应性.
To realize maximum traffic service efficiency of an area in mid-saturated traffic conditions,a multiobjective model for area coordinated control is presented based on saturation,throughput,and delay time.First,the cycle is optimized according to the saturation model of critical interaction,and the cycle is used as the common cycle for the sub-area.Second,for each unit of interaction,the green time of the intersection is optimized by the comprehensive target model,which incorporates the throughput and delay time models.Finally,the offset of adjacent intersections is optimized taking neighboring intersection in the sub-area as unit and taking the total delay time at neighboring intersection in the sub-area as the objective function.The simulation results show that the proposed algorithm is an effective method for area coordinated control in mid-saturated traffic conditions,with some adaptability.
出处
《信息与控制》
CSCD
北大核心
2014年第2期134-140,共7页
Information and Control
基金
国家自然科学基金资助项目(61174174)
浙江省公益技术研究工业项目(2012C21071)
杭州市科技发展计划重大科技创新专项(20122511A31)
关键词
多目标模型
中饱和交通状态
区域协调控制
交通服务效率
multi-objective model
mid-saturated traffic condition
area coordinated control
traffic service efficiency
