摘要
为解决传统区域协调控制方案因算法复杂、输入量多、非实时性导致协调效果不佳的问题,提出一套以干线为主的区域协调控制方案。首先将区域预设为若干个子区并基于周期原则动态地对子区进行合并与拆分,然后在子区内部对干线采用绿波协调控制算法,获得子区最佳周期和各交叉口最佳相位差,最后对所有交叉口采用基于饱和度估计的单点绿信比优化算法,选择出下一周期最佳绿信比方案。与传统区域协调控制方案相比,该方案计算的复杂度降低、需要的输入量变少、能实时动态地对区域进行协调控制、协调效果更好。通过算例分析和系统仿真,使用该方案后,子区内部能获得大于30%的绿波带宽度,单个交叉口的平均停车次数比传统方案减少65%。
A coordinated control scheme for the region is proposed to solve the problem that conventional strategy has a bad performance in coordinated due to complexity of algorithms,a quantity of input variables and non-real-time.First,several subareas are set up and could be merged or divided dynamically based on the cycle principle.Then,cycle and offsets are optimized by employing green wave coordinated control algorithm within the subarea.At last,the optimal green ratio scheme of each intersection in the next cycle is selected by employing the green ratio optimization algorithm.Compared with the conventional strategy,this strategy lowers the complexity of calculation,reduces the input variables,controlls the area dynamically and had a better control effect.The example and system simulation demonstrate that more than 30% green wave width is obtained,and the parking numbers in a single intersection is reduced by at least 65% than the conventional strategy.
出处
《计算机工程与设计》
CSCD
北大核心
2013年第10期3669-3674,共6页
Computer Engineering and Design
基金
国家自然科学基金项目(61273159)
关键词
区域协调控制
子区
绿波协调控制
周期
相位差
绿信比优化
regional coordination control
subarea
green wave coordinated control
cycle
offset
ratio optimization